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data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-author</p><p class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">climate change<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="55942132">View All (7)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="55942132" href="https://www.academia.edu/Documents/in/Optical_fiber"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://ncepu.academia.edu/JinliangZhang","location":"/JinliangZhang","scheme":"https","host":"ncepu.academia.edu","port":null,"pathname":"/JinliangZhang","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Optical fiber"]}" data-trace="false" data-dom-id="Pill-react-component-7e233002-117a-4a80-8da7-f5fab749be8b"></div> <div id="Pill-react-component-7e233002-117a-4a80-8da7-f5fab749be8b"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="55942132" href="https://www.academia.edu/Documents/in/Middleware"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Middleware"]}" data-trace="false" data-dom-id="Pill-react-component-3a1e57b2-fcf3-4d56-ab5a-d81f2f351830"></div> <div id="Pill-react-component-3a1e57b2-fcf3-4d56-ab5a-d81f2f351830"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="55942132" href="https://www.academia.edu/Documents/in/Network_Management"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Network Management"]}" data-trace="false" data-dom-id="Pill-react-component-ac2ceabf-d916-421c-9fb5-af42c2d6ae25"></div> <div id="Pill-react-component-ac2ceabf-d916-421c-9fb5-af42c2d6ae25"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="55942132" href="https://www.academia.edu/Documents/in/Wireless_Communications_and_Networking"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Wireless Communications and Networking"]}" data-trace="false" data-dom-id="Pill-react-component-f8bec019-5853-4bbc-8684-6be9db57eafc"></div> <div id="Pill-react-component-f8bec019-5853-4bbc-8684-6be9db57eafc"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="55942132" href="https://www.academia.edu/Documents/in/Performance_Evaluation"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Performance Evaluation"]}" data-trace="false" data-dom-id="Pill-react-component-61a088dc-efb8-433d-9fa6-351f7f055cdd"></div> <div id="Pill-react-component-61a088dc-efb8-433d-9fa6-351f7f055cdd"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Jinliang Zhang</h3></div><div class="js-work-strip profile--work_container" data-work-id="29585100"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29585100/The_Study_on_the_Effects_of_Traffic_Exhausts_on_Children_s_Behavioral_Problems"><img alt="Research paper thumbnail of The Study on the Effects of Traffic Exhausts on Children’s Behavioral Problems" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585100/The_Study_on_the_Effects_of_Traffic_Exhausts_on_Children_s_Behavioral_Problems">The Study on the Effects of Traffic Exhausts on Children’s Behavioral Problems</a></div><div class="wp-workCard_item"><span>Epidemiology</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29585100"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div 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class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585099/The_Pollution_Levels_of_PAHs_in_Chinese_Food">The Pollution Levels of PAHs in Chinese Food</a></div><div class="wp-workCard_item"><span>Epidemiology</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29585099"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span 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class="js-work-strip profile--work_container" data-work-id="29585098"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29585098/Population_based_reference_for_birth_weight_for_gestational_age_in_northern_China"><img alt="Research paper thumbnail of Population-based reference for birth weight for gestational age in northern China" class="work-thumbnail" src="https://attachments.academia-assets.com/50028286/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585098/Population_based_reference_for_birth_weight_for_gestational_age_in_northern_China">Population-based reference for birth weight for gestational age in northern China</a></div><div 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href="https://www.academia.edu/29585096/Identification_of_Riemerella_anatipestifer_genes_differentially_expressed_in_infected_duck_livers_by_the_selective_capture_of_transcribed_sequences_technique"><img alt="Research paper thumbnail of Identification of Riemerella anatipestifer genes differentially expressed in infected duck livers by the selective capture of transcribed sequences technique" class="work-thumbnail" src="https://attachments.academia-assets.com/50028285/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585096/Identification_of_Riemerella_anatipestifer_genes_differentially_expressed_in_infected_duck_livers_by_the_selective_capture_of_transcribed_sequences_technique">Identification of Riemerella anatipestifer genes differentially expressed in infected duck livers by the selective capture of transcribed sequences technique</a></div><div class="wp-workCard_item"><span>Avian Pathology</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="54e9e531c288a9919a8715280a16062f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50028285,"asset_id":29585096,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50028285/download_file?st=MTczMjgwMTg3NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29585096"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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$('.js-work-strip[data-work-id=29585096]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29585096,"title":"Identification of Riemerella anatipestifer genes differentially expressed in infected duck livers by the selective capture of transcribed sequences technique","translated_title":"","metadata":{"grobid_abstract":"Riemerella anatipestifer is the causative agent of duck septicaemia. Determination of R. anatipestifer virulence mechanisms will help us to effectively control this contagious agent. The differentially expressed gene profile of R. anatipestifer in infected duck livers was therefore identified and compared with in vitro cultures by selective capture of transcribed sequences analysis. A total of 48 genes were identified, of which 43 were genes that encode enzymes for amino acid biosynthesis and metabolism, intermediary metabolism, and energy metabolism, or proteins for regulatory adaptive responses, general microbial stress response, transport proteins and secreted proteinases. Five were unknown, novel genes. Eight genes representing the categories were randomly chosen and verified by real-time reverse transcriptase-polymerase chain reaction analysis. All were upregulated by R. anatipestifer in infected duck livers, with changes ranging from 1.44-fold to 4.62-fold compared with in vitro cultures. The results from the present study revealed a gene expression profile of R. anatipestifer in infected duck livers. The unknown but novel genes may be potential novel virulence factors for R. anatipestifer. 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Research</span><span>, Nov 1, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper the articles on the impacts of extreme events of weather and climate on infectious ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper the articles on the impacts of extreme events of weather and climate on infectious disease were summarized, in which were published in China from 1995 to 2008. Among all kinds of extreme events of weather and climate, flood, warm winter, high temperature and drought had the most obvious effect on infectious disease. 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0362f4e6bb406e1cb98030b6e961a199" } } $('.js-work-strip[data-work-id=29584972]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584972,"title":"A study on the gray numerical model of two-dimensional groundwater pollution","translated_title":"","metadata":{"grobid_abstract":"Contaminant transport in underground system usually occurs in varied flow fields and in anisotropic and heterogenous media. Because the applicability of analytical solutions is extremely limited for such conditions, and the distribution and transport of pollutants in groundwater are controlled by physical chemistry and biology courses, which include advection, mechanical disperse, molecule spreading, adsorption, solve and suck, biodegradation function, and numerical techniques are essential for underground pollution modeling. Among the numerical techniques, the gray numerical method has become very popular and is recognized as a powerful numerical tool. The gray numerical method, particularly for pollution modeling, may be preferable to other methods. In this paper, gray numerical model is applied to simulate two-dimension groundwater pollution. The results indicate that this method provides the references for the forecast of pollutants and the management and evaluation of groundwater resources.","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","grobid_abstract_attachment_id":50028196},"translated_abstract":null,"internal_url":"https://www.academia.edu/29584972/A_study_on_the_gray_numerical_model_of_two_dimensional_groundwater_pollution","translated_internal_url":"","created_at":"2016-11-01T03:53:21.980-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721898,"work_id":29584972,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":0,"name":"Jing Zhang","title":"A study on the gray numerical model of two-dimensional groundwater pollution"}],"downloadable_attachments":[{"id":50028196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50028196/thumbnails/1.jpg","file_name":"A_study_on_the_gray_numerical_model_of_t20161101-6535-19zo14o.pdf","download_url":"https://www.academia.edu/attachments/50028196/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_study_on_the_gray_numerical_model_of_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50028196/A_study_on_the_gray_numerical_model_of_t20161101-6535-19zo14o-libre.pdf?1477998379=\u0026response-content-disposition=attachment%3B+filename%3DA_study_on_the_gray_numerical_model_of_t.pdf\u0026Expires=1732805476\u0026Signature=DpVdOsnptGtkxxe6-VqM4BD65R3sNzZWLQnphRRSkIJDALtAiUk2aqxkKiDgw3uTvo9FhCftxy84ueWpM02MKerV0iVl0t4m8D3rxJI-8w2Ro~HltdLar9zpZEAvR74kFI~64PjN2nsmlpp4rOOuf8I7VCN0sySqGYnAWENjjp-Jhd8whpN589blECxqsGp824D1RP0p7~~ABJzF1r1qg5p7~sY~yD1ZytCn3-AVdX9Y97eTAxcM~Q6piNOVXbdPdg2fiNH6GN9p95tjfoVTMP6HXtERjkyvEGeAy2-XRins-bfTSYBhWPxGaEzlRNibjW3DR8cZd78-kuBKZsMbHA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_study_on_the_gray_numerical_model_of_two_dimensional_groundwater_pollution","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[{"id":50028196,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50028196/thumbnails/1.jpg","file_name":"A_study_on_the_gray_numerical_model_of_t20161101-6535-19zo14o.pdf","download_url":"https://www.academia.edu/attachments/50028196/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_study_on_the_gray_numerical_model_of_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50028196/A_study_on_the_gray_numerical_model_of_t20161101-6535-19zo14o-libre.pdf?1477998379=\u0026response-content-disposition=attachment%3B+filename%3DA_study_on_the_gray_numerical_model_of_t.pdf\u0026Expires=1732805476\u0026Signature=DpVdOsnptGtkxxe6-VqM4BD65R3sNzZWLQnphRRSkIJDALtAiUk2aqxkKiDgw3uTvo9FhCftxy84ueWpM02MKerV0iVl0t4m8D3rxJI-8w2Ro~HltdLar9zpZEAvR74kFI~64PjN2nsmlpp4rOOuf8I7VCN0sySqGYnAWENjjp-Jhd8whpN589blECxqsGp824D1RP0p7~~ABJzF1r1qg5p7~sY~yD1ZytCn3-AVdX9Y97eTAxcM~Q6piNOVXbdPdg2fiNH6GN9p95tjfoVTMP6HXtERjkyvEGeAy2-XRins-bfTSYBhWPxGaEzlRNibjW3DR8cZd78-kuBKZsMbHA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":6951,"name":"Groundwater","url":"https://www.academia.edu/Documents/in/Groundwater"},{"id":12022,"name":"Numerical Analysis","url":"https://www.academia.edu/Documents/in/Numerical_Analysis"},{"id":14445,"name":"Groundwater Pollution","url":"https://www.academia.edu/Documents/in/Groundwater_Pollution"},{"id":21724,"name":"Water Pollution","url":"https://www.academia.edu/Documents/in/Water_Pollution"},{"id":32149,"name":"Numerical Method","url":"https://www.academia.edu/Documents/in/Numerical_Method"},{"id":38340,"name":"Contaminant Transport","url":"https://www.academia.edu/Documents/in/Contaminant_Transport"},{"id":198066,"name":"Contamination","url":"https://www.academia.edu/Documents/in/Contamination"},{"id":474114,"name":"Heterogeneous media","url":"https://www.academia.edu/Documents/in/Heterogeneous_media"},{"id":497452,"name":"Numerical Model","url":"https://www.academia.edu/Documents/in/Numerical_Model"},{"id":970277,"name":"Two Dimensions","url":"https://www.academia.edu/Documents/in/Two_Dimensions"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584971"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584971/Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans"><img alt="Research paper thumbnail of Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584971/Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans">Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans</a></div><div class="wp-workCard_item"><span>Journal of agricultural and food chemistry</span><span>, Jan 4, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xyli...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. These results indicate that the recombinant G. oxydans PZ strain is economically feasible for xylitol produ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584971"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584971"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584971; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584971]").text(description); $(".js-view-count[data-work-id=29584971]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584971; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584971']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584971, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584971]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584971,"title":"Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans","translated_title":"","metadata":{"abstract":"Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. These results indicate that the recombinant G. oxydans PZ strain is economically feasible for xylitol produ...","publication_date":{"day":4,"month":1,"year":2016,"errors":{}},"publication_name":"Journal of agricultural and food chemistry"},"translated_abstract":"Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. These results indicate that the recombinant G. oxydans PZ strain is economically feasible for xylitol produ...","internal_url":"https://www.academia.edu/29584971/Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans","translated_internal_url":"","created_at":"2016-11-01T03:53:21.809-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25631180,"work_id":29584971,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":5674770,"email":"f***i@njtech.edu.cn","display_order":0,"name":"Xiaohai Feng","title":"Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans"}],"downloadable_attachments":[],"slug":"Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"},{"id":596974,"name":"Agricultural and Food Chemistry","url":"https://www.academia.edu/Documents/in/Agricultural_and_Food_Chemistry"},{"id":1674167,"name":"Sugar Alcohols","url":"https://www.academia.edu/Documents/in/Sugar_Alcohols"},{"id":1954742,"name":"Pentose Phosphate Pathway","url":"https://www.academia.edu/Documents/in/Pentose_Phosphate_Pathway"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584970"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584970/Application_of_the_3D_Computer_Modeling_and_Numerical_Simulation_in_the_Lower_Middle_Series_of_Strata_of_Hetaoyuan_Formation_in_Xiaermen_Oilfield"><img alt="Research paper thumbnail of Application of the 3D Computer Modeling and Numerical Simulation in the Lower-Middle Series of Strata of Hetaoyuan Formation in Xiaermen Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584970/Application_of_the_3D_Computer_Modeling_and_Numerical_Simulation_in_the_Lower_Middle_Series_of_Strata_of_Hetaoyuan_Formation_in_Xiaermen_Oilfield">Application of the 3D Computer Modeling and Numerical Simulation in the Lower-Middle Series of Strata of Hetaoyuan Formation in Xiaermen Oilfield</a></div><div class="wp-workCard_item"><span>2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The geologic reservoir fine description and reservoir engineering approaches are combined to stud...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil in the lower-middle series of strata of Hetaoyuan formation in Xiaermen Oilfield. First the detailed distribution of the microfacies is studied based on core description and petrophysical analysis. Then the geologic data are incorporated</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584970"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584970"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584970; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584970]").text(description); $(".js-view-count[data-work-id=29584970]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584970; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584970']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584970, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584970]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584970,"title":"Application of the 3D Computer Modeling and Numerical Simulation in the Lower-Middle Series of Strata of Hetaoyuan Formation in Xiaermen Oilfield","translated_title":"","metadata":{"abstract":"The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil in the lower-middle series of strata of Hetaoyuan formation in Xiaermen Oilfield. 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Through more than 10 years&amp;#39; development, the underground reservoir is complex and takes on some acute contradictions. Thus it is an emphasis to build a fine reservoir model for the modern reservoir management. The fundamental work which it needs to do is to study the microfacies, it can show us a precise distribution and tendency of the sand. The paper mainly detailedly characterise the microfacies, that can clarify the reservoir properties. As limited knowledge about reservoir geometries is available, variogram based on stochastic modeling is an appropriate method to obtain a real geological body.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584968"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584968; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584968]").text(description); $(".js-view-count[data-work-id=29584968]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584968; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584968']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584968, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584968]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584968,"title":"Facies Modeling of Complex Reservoir in Fluvial Delta System: A Case Study of Wei2 Block of Chian Oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Wei2 block of Chian Oilfield is deposited by Fluvial delta which have three major depositional microfacies: distributary channel, mouth bar and sheet sand. Through more than 10 years\u0026amp;#39; development, the underground reservoir is complex and takes on some acute contradictions. Thus it is an emphasis to build a fine reservoir model for the modern reservoir management. The fundamental work which it needs to do is to study the microfacies, it can show us a precise distribution and tendency of the sand. The paper mainly detailedly characterise the microfacies, that can clarify the reservoir properties. As limited knowledge about reservoir geometries is available, variogram based on stochastic modeling is an appropriate method to obtain a real geological body.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Wei2 block of Chian Oilfield is deposited by Fluvial delta which have three major depositional microfacies: distributary channel, mouth bar and sheet sand. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584967"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field"><img alt="Research paper thumbnail of 3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field">3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. This area was under the control of tensile and torsion stress, and on the basis of the early fracture of basal plane, a series of fractures formed which showed an en echelon arrangement on horizontal and did not extended far, and local structures were mainly fault nose. The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil. Research of the modeling techniques for geological faults in 3D is extremely important for the theoretical significance and practical value. To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584967"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584967"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584967; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584967]").text(description); $(".js-view-count[data-work-id=29584967]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584967; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584967']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584967, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584967]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584967,"title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field","translated_title":"","metadata":{"abstract":"ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. 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To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. This area was under the control of tensile and torsion stress, and on the basis of the early fracture of basal plane, a series of fractures formed which showed an en echelon arrangement on horizontal and did not extended far, and local structures were mainly fault nose. The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil. Research of the modeling techniques for geological faults in 3D is extremely important for the theoretical significance and practical value. To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.","internal_url":"https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field","translated_internal_url":"","created_at":"2016-11-01T03:53:21.305-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721873,"work_id":29584967,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":0,"name":"Jinkai Wang","title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field"},{"id":25721908,"work_id":29584967,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":4194304,"name":"Jing Zhang","title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field"}],"downloadable_attachments":[],"slug":"3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2404,"name":"Petrology","url":"https://www.academia.edu/Documents/in/Petrology"},{"id":2950,"name":"Computational Modeling","url":"https://www.academia.edu/Documents/in/Computational_Modeling"},{"id":5286,"name":"Reservoir Engineering","url":"https://www.academia.edu/Documents/in/Reservoir_Engineering"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":850705,"name":"Well logs","url":"https://www.academia.edu/Documents/in/Well_logs"},{"id":982313,"name":"Faulting","url":"https://www.academia.edu/Documents/in/Faulting"},{"id":1154530,"name":"Tensile Stress","url":"https://www.academia.edu/Documents/in/Tensile_Stress"},{"id":1310376,"name":"Sedimentary Facies","url":"https://www.academia.edu/Documents/in/Sedimentary_Facies"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling"},{"id":1643503,"name":"Structural model","url":"https://www.academia.edu/Documents/in/Structural_model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584966"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield"><img alt="Research paper thumbnail of Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield">Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584966"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584966"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584966; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584966]").text(description); $(".js-view-count[data-work-id=29584966]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584966; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584966']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584966, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584966]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584966,"title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.","internal_url":"https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:21.123-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721843,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":463703,"email":"j***g@anl.gov","display_order":0,"name":"Jianhui Wang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721854,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":5692797,"email":"f***g@ualberta.ca","display_order":4194304,"name":"Fang Ding","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721870,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":6291456,"name":"Jinkai Wang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721893,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":7340032,"name":"Jing Zhang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"}],"downloadable_attachments":[],"slug":"Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2184,"name":"Electron Microscopy","url":"https://www.academia.edu/Documents/in/Electron_Microscopy"},{"id":12108,"name":"China","url":"https://www.academia.edu/Documents/in/China"},{"id":30894,"name":"Reservoir Characterization","url":"https://www.academia.edu/Documents/in/Reservoir_Characterization"},{"id":43131,"name":"Stochastic processes","url":"https://www.academia.edu/Documents/in/Stochastic_processes"},{"id":58256,"name":"Stochastic Modeling","url":"https://www.academia.edu/Documents/in/Stochastic_Modeling"},{"id":83972,"name":"Permeability","url":"https://www.academia.edu/Documents/in/Permeability"},{"id":155340,"name":"Sediments","url":"https://www.academia.edu/Documents/in/Sediments"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":871199,"name":"Stochastic Model","url":"https://www.academia.edu/Documents/in/Stochastic_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584965"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block"><img alt="Research paper thumbnail of Application of facies-controlled modeling technology a case study of H54-H98 block" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block">Application of facies-controlled modeling technology a case study of H54-H98 block</a></div><div class="wp-workCard_item"><span>2010 The 2nd Conference on Environmental Science and Information Application Technology</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT In order to accurately describe the reservoir physical property and its through-going ch...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584965"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584965"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584965; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584965]").text(description); $(".js-view-count[data-work-id=29584965]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584965; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584965']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584965, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584965]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584965,"title":"Application of facies-controlled modeling technology a case study of H54-H98 block","translated_title":"","metadata":{"abstract":"ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 The 2nd Conference on Environmental Science and Information Application Technology"},"translated_abstract":"ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.","internal_url":"https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block","translated_internal_url":"","created_at":"2016-11-01T03:53:20.939-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721853,"work_id":29584965,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":5692797,"email":"f***g@ualberta.ca","display_order":0,"name":"Fang Ding","title":"Application of facies-controlled modeling technology a case study of H54-H98 block"},{"id":25721869,"work_id":29584965,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":4194304,"name":"Jinkai Wang","title":"Application of facies-controlled modeling technology a case study of H54-H98 block"}],"downloadable_attachments":[],"slug":"Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584964"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584964/3D_geological_modeling_of_complex_reservoir_geometries_in_a_lacustrine_delta_system_sha19_block_of_shanian_oilfield"><img alt="Research paper thumbnail of 3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584964/3D_geological_modeling_of_complex_reservoir_geometries_in_a_lacustrine_delta_system_sha19_block_of_shanian_oilfield">3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield</a></div><div class="wp-workCard_item"><span>2009 ISECS International Colloquium on Computing, Communication, Control, and Management</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in Shanian oilfield, according to guidelines defined by Mcpherson and others. Four major depositional microfacies are identified consisting of distributary channel, interdistributary bay, mouth bar and sand sheet. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in clastic systems. Facies distribution, however, are at present mainly implemented as deterministic 2-D maps in reservoir models. Two-dimensional maps are an oversimplified way of representing the complex spatial structure of the distribution of facies. Therefore, three-dimensional facies models were built in study area. The models honour all available case-specific dasiahardpsila data as well as dasiasoftpsila data and it is calculated with sequential indicator simulation, which is an important stochastic geostatistical method. At the same time, the model should be checked up by geological experiences and judgment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584964"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584964"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584964; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584964]").text(description); $(".js-view-count[data-work-id=29584964]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584964; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584964']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584964, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584964]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584964,"title":"3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in Shanian oilfield, according to guidelines defined by Mcpherson and others. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584962"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield"><img alt="Research paper thumbnail of Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield">Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Facies are important in reservoir modeling because the petrophysical properties of interest are h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Facies are important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. The knowledge of facies constrains the range of variability in porosity and permeability. This paper presents a stochastic modeling for characteristics of petroleum reservoirs constrained by facies to yield results coincided with real geological setting. The facies acting as the constraint are</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584962"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584962"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584962; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584962]").text(description); $(".js-view-count[data-work-id=29584962]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584962; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584962']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584962, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584962]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584962,"title":"Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield","translated_title":"","metadata":{"abstract":"Facies are important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. 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The facies acting as the constraint are","internal_url":"https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:20.427-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721902,"work_id":29584962,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":0,"name":"Jing Zhang","title":"Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability"},{"id":43131,"name":"Stochastic processes","url":"https://www.academia.edu/Documents/in/Stochastic_processes"},{"id":68315,"name":"Porosity","url":"https://www.academia.edu/Documents/in/Porosity"},{"id":83972,"name":"Permeability","url":"https://www.academia.edu/Documents/in/Permeability"},{"id":533628,"name":"Reservoir modeling","url":"https://www.academia.edu/Documents/in/Reservoir_modeling"},{"id":871199,"name":"Stochastic Model","url":"https://www.academia.edu/Documents/in/Stochastic_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584961"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield"><img alt="Research paper thumbnail of Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield">Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Clastic reservoir characterization typically starts with the modeling of the facies distribution ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584961"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584961"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584961; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584961]").text(description); $(".js-view-count[data-work-id=29584961]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584961; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584961']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584961, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584961]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584961,"title":"Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield","translated_title":"","metadata":{"abstract":"Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"2008 International Workshop on Education Technology and Training \u0026 2008 International Workshop on Geoscience and Remote Sensing"},"translated_abstract":"Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools","internal_url":"https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:20.254-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721926,"work_id":29584961,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":0,"name":"Jing Zhang","title":"Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics"},{"id":654899,"name":"Computer Modelling","url":"https://www.academia.edu/Documents/in/Computer_Modelling"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584960"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584960/Research_on_reservoir_bed_heterogeneity_interlayers_and_seal_layers_and_controlling_factors_of_2_3_sands_of_upper_second_member_Shahejie_Formation_in_the_west_of_the_Pucheng_Oilfield"><img alt="Research paper thumbnail of Research on reservoir bed heterogeneity, interlayers and seal layers and controlling factors of 2+3 sands of upper second member, Shahejie Formation, in the west of the Pucheng Oilfield" class="work-thumbnail" src="https://attachments.academia-assets.com/50028192/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584960/Research_on_reservoir_bed_heterogeneity_interlayers_and_seal_layers_and_controlling_factors_of_2_3_sands_of_upper_second_member_Shahejie_Formation_in_the_west_of_the_Pucheng_Oilfield">Research on reservoir bed heterogeneity, interlayers and seal layers and controlling factors of 2+3 sands of upper second member, Shahejie Formation, in the west of the Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>Petroleum Science</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c2b3bb4ad7344a7085e30ed045f986d2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50028192,"asset_id":29584960,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50028192/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584960"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584960"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584960; 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Based on well logging data and physical properties of the reservoir beds, the 2+3 sands were divided into 16 sublayers. The heterogeneity of reservoir beds and distribution of interlayers and seal layers in the 2+3 sands were investigated. The intra-layer heterogeneity and inter-layer heterogeneity primarily belong to the severely heterogeneous classi¿ cation. The spatial differentiation of sedimentary microfacies resulted in a change of reservoir bed heterogeneity, strong in the middle and southern parts, weak in the northern part. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584959"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield"><img alt="Research paper thumbnail of 3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield">3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">3D computer modeling is the most important procedure in the reservoir fine description, It can he...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. This paper presents an example of the application 3D modeling to the first sand set of the upper ES2 reservoir in the south region of Pucheng Oilfield. Based on the basic data of the strata and structure, faults and structure model are built to display the D structure characteristics of the reservoir. The sedimentary microfacies data is imported and analyzed in the software and the variogram is defined to build the microfacies model. And then facies controlled petrophysical modeling technology is used when building the petrophysical model. Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584959"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584959"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584959; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584959]").text(description); $(".js-view-count[data-work-id=29584959]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584959; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584959']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584959, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584959]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584959,"title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield","translated_title":"","metadata":{"abstract":"3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. This paper presents an example of the application 3D modeling to the first sand set of the upper ES2 reservoir in the south region of Pucheng Oilfield. Based on the basic data of the strata and structure, faults and structure model are built to display the D structure characteristics of the reservoir. The sedimentary microfacies data is imported and analyzed in the software and the variogram is defined to build the microfacies model. And then facies controlled petrophysical modeling technology is used when building the petrophysical model. Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. This paper presents an example of the application 3D modeling to the first sand set of the upper ES2 reservoir in the south region of Pucheng Oilfield. Based on the basic data of the strata and structure, faults and structure model are built to display the D structure characteristics of the reservoir. The sedimentary microfacies data is imported and analyzed in the software and the variogram is defined to build the microfacies model. And then facies controlled petrophysical modeling technology is used when building the petrophysical model. Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.","internal_url":"https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:19.916-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721844,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":463703,"email":"j***g@anl.gov","display_order":0,"name":"Jianhui Wang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"},{"id":25721874,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":4194304,"name":"Jinkai Wang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"},{"id":25721909,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":6291456,"name":"Jing Zhang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2404,"name":"Petrology","url":"https://www.academia.edu/Documents/in/Petrology"},{"id":2950,"name":"Computational Modeling","url":"https://www.academia.edu/Documents/in/Computational_Modeling"},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis"},{"id":12022,"name":"Numerical Analysis","url":"https://www.academia.edu/Documents/in/Numerical_Analysis"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation"},{"id":77335,"name":"Faults","url":"https://www.academia.edu/Documents/in/Faults"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional"},{"id":982313,"name":"Faulting","url":"https://www.academia.edu/Documents/in/Faulting"},{"id":983265,"name":"Variogram","url":"https://www.academia.edu/Documents/in/Variogram"},{"id":1010882,"name":"D structure","url":"https://www.academia.edu/Documents/in/D_structure"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="6075724" id="papers"><div class="js-work-strip profile--work_container" data-work-id="29585100"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29585100/The_Study_on_the_Effects_of_Traffic_Exhausts_on_Children_s_Behavioral_Problems"><img alt="Research paper thumbnail of The Study on the Effects of Traffic Exhausts on Children’s Behavioral Problems" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585100/The_Study_on_the_Effects_of_Traffic_Exhausts_on_Children_s_Behavioral_Problems">The Study on the Effects of Traffic Exhausts on Children’s Behavioral Problems</a></div><div class="wp-workCard_item"><span>Epidemiology</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29585100"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29585100"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29585100; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29585096"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29585096/Identification_of_Riemerella_anatipestifer_genes_differentially_expressed_in_infected_duck_livers_by_the_selective_capture_of_transcribed_sequences_technique"><img alt="Research paper thumbnail of Identification of Riemerella anatipestifer genes differentially expressed in infected duck livers by the selective capture of transcribed sequences technique" class="work-thumbnail" src="https://attachments.academia-assets.com/50028285/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29585096/Identification_of_Riemerella_anatipestifer_genes_differentially_expressed_in_infected_duck_livers_by_the_selective_capture_of_transcribed_sequences_technique">Identification of Riemerella anatipestifer genes differentially expressed in infected duck livers by the selective capture of transcribed sequences technique</a></div><div class="wp-workCard_item"><span>Avian Pathology</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="54e9e531c288a9919a8715280a16062f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50028285,"asset_id":29585096,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50028285/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&st=MTczMjgwMTg3NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29585096"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29585096"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29585096; 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Determination of R. anatipestifer virulence mechanisms will help us to effectively control this contagious agent. The differentially expressed gene profile of R. anatipestifer in infected duck livers was therefore identified and compared with in vitro cultures by selective capture of transcribed sequences analysis. A total of 48 genes were identified, of which 43 were genes that encode enzymes for amino acid biosynthesis and metabolism, intermediary metabolism, and energy metabolism, or proteins for regulatory adaptive responses, general microbial stress response, transport proteins and secreted proteinases. Five were unknown, novel genes. Eight genes representing the categories were randomly chosen and verified by real-time reverse transcriptase-polymerase chain reaction analysis. All were upregulated by R. anatipestifer in infected duck livers, with changes ranging from 1.44-fold to 4.62-fold compared with in vitro cultures. The results from the present study revealed a gene expression profile of R. anatipestifer in infected duck livers. The unknown but novel genes may be potential novel virulence factors for R. anatipestifer. In conclusion, the data from this study will provide a molecular basis for further study of R. anatipestifer pathogenesis.","publication_date":{"day":null,"month":null,"year":2009,"errors":{}},"publication_name":"Avian 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class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584974/Architecture_and_facies_model_in_a_non_marine_to_shallow_marine_setting_with_continuous_base_level_rise_An_example_from_the_Cretaceous_Denglouku_Formation_in_the_Changling_Depression_Songliao_Basin_China"><img alt="Research paper thumbnail of Architecture and facies model in a non-marine to shallow-marine setting with continuous base-level rise: An example from the Cretaceous Denglouku Formation in the Changling Depression, Songliao Basin, China" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584974/Architecture_and_facies_model_in_a_non_marine_to_shallow_marine_setting_with_continuous_base_level_rise_An_example_from_the_Cretaceous_Denglouku_Formation_in_the_Changling_Depression_Songliao_Basin_China">Architecture and facies model in a non-marine to shallow-marine setting with continuous base-level rise: An example from the Cretaceous Denglouku Formation in the Changling Depression, Songliao Basin, China</a></div><div class="wp-workCard_item"><span>Marine and Petroleum Geology</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584974"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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China"}],"downloadable_attachments":[],"slug":"Architecture_and_facies_model_in_a_non_marine_to_shallow_marine_setting_with_continuous_base_level_rise_An_example_from_the_Cretaceous_Denglouku_Formation_in_the_Changling_Depression_Songliao_Basin_China","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584973"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584973/_The_impacts_of_extreme_events_of_weather_and_climate_on_infectious_disease_"><img alt="Research paper thumbnail of [The impacts of extreme events of weather and climate on infectious disease]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584973/_The_impacts_of_extreme_events_of_weather_and_climate_on_infectious_disease_">[The impacts of extreme events of weather and climate on infectious disease]</a></div><div class="wp-workCard_item"><span>Wei Sheng Yan Jiu Journal of Hygiene Research</span><span>, Nov 1, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper the articles on the impacts of extreme events of weather and climate on infectious ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper the articles on the impacts of extreme events of weather and climate on infectious disease were summarized, in which were published in China from 1995 to 2008. Among all kinds of extreme events of weather and climate, flood, warm winter, high temperature and drought had the most obvious effect on infectious disease. In this paper, the impact on epidemic and activities of vectors and infectious parasites, as well as the change of incidence and epidemic scale of related infectious disease were respectively reviewed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584973"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584973"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584973; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584973]").text(description); $(".js-view-count[data-work-id=29584973]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584973; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584973']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584973, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584973]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584973,"title":"[The impacts of extreme events of weather and climate on infectious disease]","translated_title":"","metadata":{"abstract":"In this paper the articles on the impacts of extreme events of weather and climate on infectious disease were summarized, in which were published in China from 1995 to 2008. 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In this paper, the impact on epidemic and activities of vectors and infectious parasites, as well as the change of incidence and epidemic scale of related infectious disease were respectively reviewed.","internal_url":"https://www.academia.edu/29584973/_The_impacts_of_extreme_events_of_weather_and_climate_on_infectious_disease_","translated_internal_url":"","created_at":"2016-11-01T03:53:22.153-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_The_impacts_of_extreme_events_of_weather_and_climate_on_infectious_disease_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":7823,"name":"Malaria","url":"https://www.academia.edu/Documents/in/Malaria"},{"id":12108,"name":"China","url":"https://www.academia.edu/Documents/in/China"},{"id":13734,"name":"Communicable Diseases","url":"https://www.academia.edu/Documents/in/Communicable_Diseases"},{"id":63883,"name":"Disasters","url":"https://www.academia.edu/Documents/in/Disasters"},{"id":146042,"name":"Weather","url":"https://www.academia.edu/Documents/in/Weather"},{"id":289330,"name":"Prevalence","url":"https://www.academia.edu/Documents/in/Prevalence"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584972"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584972/A_study_on_the_gray_numerical_model_of_two_dimensional_groundwater_pollution"><img alt="Research paper thumbnail of A study on the gray numerical model of two-dimensional groundwater pollution" class="work-thumbnail" src="https://attachments.academia-assets.com/50028196/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584972/A_study_on_the_gray_numerical_model_of_two_dimensional_groundwater_pollution">A study on the gray numerical model of two-dimensional groundwater pollution</a></div><div class="wp-workCard_item"><span>2007 IEEE International Conference on Grey Systems and Intelligent Services</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0362f4e6bb406e1cb98030b6e961a199" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50028196,"asset_id":29584972,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50028196/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584972"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584972"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584972; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584972]").text(description); $(".js-view-count[data-work-id=29584972]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584972; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584972']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584972, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0362f4e6bb406e1cb98030b6e961a199" } } $('.js-work-strip[data-work-id=29584972]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584972,"title":"A study on the gray numerical model of two-dimensional groundwater pollution","translated_title":"","metadata":{"grobid_abstract":"Contaminant transport in underground system usually occurs in varied flow fields and in anisotropic and heterogenous media. Because the applicability of analytical solutions is extremely limited for such conditions, and the distribution and transport of pollutants in groundwater are controlled by physical chemistry and biology courses, which include advection, mechanical disperse, molecule spreading, adsorption, solve and suck, biodegradation function, and numerical techniques are essential for underground pollution modeling. Among the numerical techniques, the gray numerical method has become very popular and is recognized as a powerful numerical tool. The gray numerical method, particularly for pollution modeling, may be preferable to other methods. In this paper, gray numerical model is applied to simulate two-dimension groundwater pollution. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584971"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584971/Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans"><img alt="Research paper thumbnail of Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584971/Improved_xylitol_production_from_D_arabitol_by_enhancing_the_coenzyme_regeneration_efficiency_of_the_pentose_phosphate_pathway_in_Gluconobacter_oxydans">Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans</a></div><div class="wp-workCard_item"><span>Journal of agricultural and food chemistry</span><span>, Jan 4, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xyli...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. These results indicate that the recombinant G. oxydans PZ strain is economically feasible for xylitol produ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584971"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584971"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584971; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584971]").text(description); $(".js-view-count[data-work-id=29584971]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584971; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584971']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584971, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584971]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584971,"title":"Improved xylitol production from D-arabitol by enhancing the coenzyme regeneration efficiency of the pentose phosphate pathway in Gluconobacter oxydans","translated_title":"","metadata":{"abstract":"Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. These results indicate that the recombinant G. oxydans PZ strain is economically feasible for xylitol produ...","publication_date":{"day":4,"month":1,"year":2016,"errors":{}},"publication_name":"Journal of agricultural and food chemistry"},"translated_abstract":"Gluconobacter oxydans is used to produce xylitol from D-arabitol. This study aims to improve xylitol production by increasing the coenzyme regeneration efficiency of the pentose phosphate pathway in G. oxydans. Glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH) were overexpressed in G. oxydans. Real-time PCR and enzyme activity assays revealed that G6PDH/6PGDH activity and coenzyme regeneration efficiency increased in the recombinant G. oxydans strains. Approximately 29.3 g/L xylitol was obtained, with a yield of 73.2%, from 40 g/L D-arabitol in the batch biotransformation with the G. oxydans PZ strain. Moreover, the xylitol productivity (0.62 g/L/h) was 3.26-fold of the wild type strain (0.19 g/L/h). In repetitive batch biotransformation, the G. oxydans PZ cells were used for five cycles without incurring a significant loss in productivity. 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First the detailed distribution of the microfacies is studied based on core description and petrophysical analysis. Then the geologic data are incorporated</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584970"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584970"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584970; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584970]").text(description); $(".js-view-count[data-work-id=29584970]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584970; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584970']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584970, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584970]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584970,"title":"Application of the 3D Computer Modeling and Numerical Simulation in the Lower-Middle Series of Strata of Hetaoyuan Formation in Xiaermen Oilfield","translated_title":"","metadata":{"abstract":"The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil in the lower-middle series of strata of Hetaoyuan formation in Xiaermen Oilfield. 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Through more than 10 years&amp;#39; development, the underground reservoir is complex and takes on some acute contradictions. Thus it is an emphasis to build a fine reservoir model for the modern reservoir management. The fundamental work which it needs to do is to study the microfacies, it can show us a precise distribution and tendency of the sand. The paper mainly detailedly characterise the microfacies, that can clarify the reservoir properties. As limited knowledge about reservoir geometries is available, variogram based on stochastic modeling is an appropriate method to obtain a real geological body.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584968"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584968; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584968]").text(description); $(".js-view-count[data-work-id=29584968]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584968; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584968']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584968, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584968]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584968,"title":"Facies Modeling of Complex Reservoir in Fluvial Delta System: A Case Study of Wei2 Block of Chian Oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Wei2 block of Chian Oilfield is deposited by Fluvial delta which have three major depositional microfacies: distributary channel, mouth bar and sheet sand. Through more than 10 years\u0026amp;#39; development, the underground reservoir is complex and takes on some acute contradictions. Thus it is an emphasis to build a fine reservoir model for the modern reservoir management. The fundamental work which it needs to do is to study the microfacies, it can show us a precise distribution and tendency of the sand. The paper mainly detailedly characterise the microfacies, that can clarify the reservoir properties. As limited knowledge about reservoir geometries is available, variogram based on stochastic modeling is an appropriate method to obtain a real geological body.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Wei2 block of Chian Oilfield is deposited by Fluvial delta which have three major depositional microfacies: distributary channel, mouth bar and sheet sand. Through more than 10 years\u0026amp;#39; development, the underground reservoir is complex and takes on some acute contradictions. Thus it is an emphasis to build a fine reservoir model for the modern reservoir management. The fundamental work which it needs to do is to study the microfacies, it can show us a precise distribution and tendency of the sand. The paper mainly detailedly characterise the microfacies, that can clarify the reservoir properties. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584967"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field"><img alt="Research paper thumbnail of 3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field">3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. This area was under the control of tensile and torsion stress, and on the basis of the early fracture of basal plane, a series of fractures formed which showed an en echelon arrangement on horizontal and did not extended far, and local structures were mainly fault nose. The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil. Research of the modeling techniques for geological faults in 3D is extremely important for the theoretical significance and practical value. To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584967"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584967"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584967; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584967]").text(description); $(".js-view-count[data-work-id=29584967]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584967; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584967']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584967, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584967]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584967,"title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field","translated_title":"","metadata":{"abstract":"ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. 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To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Early Qingshankou formation, basin dropped sharply, and the syncline structure started to form. This area was under the control of tensile and torsion stress, and on the basis of the early fracture of basal plane, a series of fractures formed which showed an en echelon arrangement on horizontal and did not extended far, and local structures were mainly fault nose. The geologic reservoir fine description and reservoir engineering approaches are combined to study the structure characteristic, the sedimentary facies and the distribution of the remaining oil. Research of the modeling techniques for geological faults in 3D is extremely important for the theoretical significance and practical value. To establish D visualization of geological structure model in this area using 3D geological modeling software, this paper analyses the material of 188 wells in the hei71-56 area including seismic data, well logs, drilling data, individual layer data and so on.","internal_url":"https://www.academia.edu/29584967/3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field","translated_internal_url":"","created_at":"2016-11-01T03:53:21.305-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721873,"work_id":29584967,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":0,"name":"Jinkai Wang","title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field"},{"id":25721908,"work_id":29584967,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":4194304,"name":"Jing Zhang","title":"3D Geological Structures Modeling in Qingshankou Formation in Hei 71-56 Area of the Daqingzijing Oil Field"}],"downloadable_attachments":[],"slug":"3D_Geological_Structures_Modeling_in_Qingshankou_Formation_in_Hei_71_56_Area_of_the_Daqingzijing_Oil_Field","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2404,"name":"Petrology","url":"https://www.academia.edu/Documents/in/Petrology"},{"id":2950,"name":"Computational Modeling","url":"https://www.academia.edu/Documents/in/Computational_Modeling"},{"id":5286,"name":"Reservoir Engineering","url":"https://www.academia.edu/Documents/in/Reservoir_Engineering"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":850705,"name":"Well logs","url":"https://www.academia.edu/Documents/in/Well_logs"},{"id":982313,"name":"Faulting","url":"https://www.academia.edu/Documents/in/Faulting"},{"id":1154530,"name":"Tensile Stress","url":"https://www.academia.edu/Documents/in/Tensile_Stress"},{"id":1310376,"name":"Sedimentary Facies","url":"https://www.academia.edu/Documents/in/Sedimentary_Facies"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling"},{"id":1643503,"name":"Structural model","url":"https://www.academia.edu/Documents/in/Structural_model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584966"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield"><img alt="Research paper thumbnail of Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield">Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584966"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584966"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584966; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584966]").text(description); $(".js-view-count[data-work-id=29584966]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584966; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584966']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584966, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584966]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584966,"title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"ABSTRACT Terminal fan system is distinguished in Hai120 block, which consists of three different microfacies proximal subfacies, middle subfacies and distal subfacies are identified by combining the core observation, log interpretation and electron microscopy viewing, each subfacies includes a number of microfacies. Reservoir characterization plays an essential role in quantitative reservoir description, it can improve capacity of understanding reservoir, thus in this paper we mainly detailedly characterise microfacies, which have prominent impacts on the reservoir properties, herein presents the connection between reservoir properties and the facies, plus applying stochastic modeling method to build reservoir properties model. This study has a direct role in guiding the oil field development.","internal_url":"https://www.academia.edu/29584966/Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:21.123-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721843,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":463703,"email":"j***g@anl.gov","display_order":0,"name":"Jianhui Wang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721854,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":5692797,"email":"f***g@ualberta.ca","display_order":4194304,"name":"Fang Ding","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721870,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":6291456,"name":"Jinkai Wang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"},{"id":25721893,"work_id":29584966,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":7340032,"name":"Jing Zhang","title":"Geological Modeling of the Terminal Fan Reservoir in Hai120 Block of Jilin Oilfield"}],"downloadable_attachments":[],"slug":"Geological_Modeling_of_the_Terminal_Fan_Reservoir_in_Hai120_Block_of_Jilin_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2184,"name":"Electron Microscopy","url":"https://www.academia.edu/Documents/in/Electron_Microscopy"},{"id":12108,"name":"China","url":"https://www.academia.edu/Documents/in/China"},{"id":30894,"name":"Reservoir Characterization","url":"https://www.academia.edu/Documents/in/Reservoir_Characterization"},{"id":43131,"name":"Stochastic processes","url":"https://www.academia.edu/Documents/in/Stochastic_processes"},{"id":58256,"name":"Stochastic Modeling","url":"https://www.academia.edu/Documents/in/Stochastic_Modeling"},{"id":83972,"name":"Permeability","url":"https://www.academia.edu/Documents/in/Permeability"},{"id":155340,"name":"Sediments","url":"https://www.academia.edu/Documents/in/Sediments"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":871199,"name":"Stochastic Model","url":"https://www.academia.edu/Documents/in/Stochastic_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584965"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block"><img alt="Research paper thumbnail of Application of facies-controlled modeling technology a case study of H54-H98 block" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block">Application of facies-controlled modeling technology a case study of H54-H98 block</a></div><div class="wp-workCard_item"><span>2010 The 2nd Conference on Environmental Science and Information Application Technology</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT In order to accurately describe the reservoir physical property and its through-going ch...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584965"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584965"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584965; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584965]").text(description); $(".js-view-count[data-work-id=29584965]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584965; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584965']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584965, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584965]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584965,"title":"Application of facies-controlled modeling technology a case study of H54-H98 block","translated_title":"","metadata":{"abstract":"ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 The 2nd Conference on Environmental Science and Information Application Technology"},"translated_abstract":"ABSTRACT In order to accurately describe the reservoir physical property and its through-going characteristics, this paper establishes the sedimentary microfacies model and the microfacies controlled property model step by step using the facies-controlled modeling technology and on the basis of study results on geology, logging and development performance. The facies-controlled modeling reveals that the facies-controlled property model is more reliable in describing reservoir heterogeneity. And the recovery ratio is enhanced by the comprehensive supervisory steps. The successful application in H54-H98 block shows that the facies-controlled modeling technology can satisfactorily characterize the properties of the reservoirs with quick-change sedimentary microfacies and severe heterogeneity, providing a dependable geological model for the later development or adjustment of oil and gas fields.","internal_url":"https://www.academia.edu/29584965/Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block","translated_internal_url":"","created_at":"2016-11-01T03:53:20.939-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721853,"work_id":29584965,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":5692797,"email":"f***g@ualberta.ca","display_order":0,"name":"Fang Ding","title":"Application of facies-controlled modeling technology a case study of H54-H98 block"},{"id":25721869,"work_id":29584965,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":4194304,"name":"Jinkai Wang","title":"Application of facies-controlled modeling technology a case study of H54-H98 block"}],"downloadable_attachments":[],"slug":"Application_of_facies_controlled_modeling_technology_a_case_study_of_H54_H98_block","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584964"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584964/3D_geological_modeling_of_complex_reservoir_geometries_in_a_lacustrine_delta_system_sha19_block_of_shanian_oilfield"><img alt="Research paper thumbnail of 3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584964/3D_geological_modeling_of_complex_reservoir_geometries_in_a_lacustrine_delta_system_sha19_block_of_shanian_oilfield">3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield</a></div><div class="wp-workCard_item"><span>2009 ISECS International Colloquium on Computing, Communication, Control, and Management</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in Shanian oilfield, according to guidelines defined by Mcpherson and others. Four major depositional microfacies are identified consisting of distributary channel, interdistributary bay, mouth bar and sand sheet. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in clastic systems. Facies distribution, however, are at present mainly implemented as deterministic 2-D maps in reservoir models. Two-dimensional maps are an oversimplified way of representing the complex spatial structure of the distribution of facies. Therefore, three-dimensional facies models were built in study area. The models honour all available case-specific dasiahardpsila data as well as dasiasoftpsila data and it is calculated with sequential indicator simulation, which is an important stochastic geostatistical method. At the same time, the model should be checked up by geological experiences and judgment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584964"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584964"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584964; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584964]").text(description); $(".js-view-count[data-work-id=29584964]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584964; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584964']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584964, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584964]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584964,"title":"3D geological modeling of complex reservoir geometries in a lacustrine-delta system, sha19 block of shanian oilfield","translated_title":"","metadata":{"abstract":"ABSTRACT Delta front is distinguished in the Sha19 block, third member of the Funing formation in Shanian oilfield, according to guidelines defined by Mcpherson and others. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584962"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield"><img alt="Research paper thumbnail of Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield">Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Facies are important in reservoir modeling because the petrophysical properties of interest are h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Facies are important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. The knowledge of facies constrains the range of variability in porosity and permeability. This paper presents a stochastic modeling for characteristics of petroleum reservoirs constrained by facies to yield results coincided with real geological setting. The facies acting as the constraint are</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584962"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584962"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584962; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584962]").text(description); $(".js-view-count[data-work-id=29584962]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584962; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584962']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584962, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584962]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584962,"title":"Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield","translated_title":"","metadata":{"abstract":"Facies are important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. 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The facies acting as the constraint are","internal_url":"https://www.academia.edu/29584962/Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:20.427-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721902,"work_id":29584962,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":0,"name":"Jing Zhang","title":"Computer Technology on Geological Modeling on the Upper Second Member of Shahejie Formation in the Eastern Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"Computer_Technology_on_Geological_Modeling_on_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability"},{"id":43131,"name":"Stochastic processes","url":"https://www.academia.edu/Documents/in/Stochastic_processes"},{"id":68315,"name":"Porosity","url":"https://www.academia.edu/Documents/in/Porosity"},{"id":83972,"name":"Permeability","url":"https://www.academia.edu/Documents/in/Permeability"},{"id":533628,"name":"Reservoir modeling","url":"https://www.academia.edu/Documents/in/Reservoir_modeling"},{"id":871199,"name":"Stochastic Model","url":"https://www.academia.edu/Documents/in/Stochastic_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584961"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield"><img alt="Research paper thumbnail of Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield">Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Clastic reservoir characterization typically starts with the modeling of the facies distribution ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584961"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584961"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584961; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584961]").text(description); $(".js-view-count[data-work-id=29584961]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584961; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584961']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584961, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584961]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584961,"title":"Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield","translated_title":"","metadata":{"abstract":"Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"2008 International Workshop on Education Technology and Training \u0026 2008 International Workshop on Geoscience and Remote Sensing"},"translated_abstract":"Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools","internal_url":"https://www.academia.edu/29584961/Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:20.254-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721926,"work_id":29584961,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":0,"name":"Jing Zhang","title":"Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"Geostatistical_Three_Dimentional_Modeling_of_Terminal_Fan_An_Example_from_the_Upper_Second_Member_of_Shahejie_Formation_in_the_Eastern_Area_of_the_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics"},{"id":654899,"name":"Computer Modelling","url":"https://www.academia.edu/Documents/in/Computer_Modelling"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584960"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584960/Research_on_reservoir_bed_heterogeneity_interlayers_and_seal_layers_and_controlling_factors_of_2_3_sands_of_upper_second_member_Shahejie_Formation_in_the_west_of_the_Pucheng_Oilfield"><img alt="Research paper thumbnail of Research on reservoir bed heterogeneity, interlayers and seal layers and controlling factors of 2+3 sands of upper second member, Shahejie Formation, in the west of the Pucheng Oilfield" class="work-thumbnail" src="https://attachments.academia-assets.com/50028192/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584960/Research_on_reservoir_bed_heterogeneity_interlayers_and_seal_layers_and_controlling_factors_of_2_3_sands_of_upper_second_member_Shahejie_Formation_in_the_west_of_the_Pucheng_Oilfield">Research on reservoir bed heterogeneity, interlayers and seal layers and controlling factors of 2+3 sands of upper second member, Shahejie Formation, in the west of the Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>Petroleum Science</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c2b3bb4ad7344a7085e30ed045f986d2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50028192,"asset_id":29584960,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50028192/download_file?st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&st=MTczMjgwMTg3Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584960"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584960"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584960; 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Based on well logging data and physical properties of the reservoir beds, the 2+3 sands were divided into 16 sublayers. The heterogeneity of reservoir beds and distribution of interlayers and seal layers in the 2+3 sands were investigated. The intra-layer heterogeneity and inter-layer heterogeneity primarily belong to the severely heterogeneous classi¿ cation. The spatial differentiation of sedimentary microfacies resulted in a change of reservoir bed heterogeneity, strong in the middle and southern parts, weak in the northern part. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="29584959"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield"><img alt="Research paper thumbnail of 3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield">3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield</a></div><div class="wp-workCard_item"><span>2010 Second International Conference on Modeling, Simulation and Visualization Methods</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">3D computer modeling is the most important procedure in the reservoir fine description, It can he...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. This paper presents an example of the application 3D modeling to the first sand set of the upper ES2 reservoir in the south region of Pucheng Oilfield. Based on the basic data of the strata and structure, faults and structure model are built to display the D structure characteristics of the reservoir. The sedimentary microfacies data is imported and analyzed in the software and the variogram is defined to build the microfacies model. And then facies controlled petrophysical modeling technology is used when building the petrophysical model. Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="29584959"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="29584959"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29584959; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29584959]").text(description); $(".js-view-count[data-work-id=29584959]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29584959; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29584959']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 29584959, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29584959]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29584959,"title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield","translated_title":"","metadata":{"abstract":"3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. 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Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 Second International Conference on Modeling, Simulation and Visualization Methods"},"translated_abstract":"3D computer modeling is the most important procedure in the reservoir fine description, It can help us to study the reservoir with quantitative and three-dimensional methods. This paper presents an example of the application 3D modeling to the first sand set of the upper ES2 reservoir in the south region of Pucheng Oilfield. Based on the basic data of the strata and structure, faults and structure model are built to display the D structure characteristics of the reservoir. The sedimentary microfacies data is imported and analyzed in the software and the variogram is defined to build the microfacies model. And then facies controlled petrophysical modeling technology is used when building the petrophysical model. Finally, In order to examine the precision of the built 3D geological model, according to the fluid model, the geological reserves of each zone is calculated, result manifests that the trueness error is reasonable, and the exported D model can be used in the numerical simulation.","internal_url":"https://www.academia.edu/29584959/3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield","translated_internal_url":"","created_at":"2016-11-01T03:53:19.916-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":55942132,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":25721844,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":463703,"email":"j***g@anl.gov","display_order":0,"name":"Jianhui Wang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"},{"id":25721874,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":null,"co_author_invite_id":501549,"email":"j***g@ucdenver.edu","display_order":4194304,"name":"Jinkai Wang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"},{"id":25721909,"work_id":29584959,"tagging_user_id":55942132,"tagged_user_id":7222645,"co_author_invite_id":null,"email":"j***7@gmail.com","affiliation":"The University of Manchester","display_order":6291456,"name":"Jing Zhang","title":"3D Fine Geological Modeling of the High Water Cut Stage Reservoir: A Case Study of the ES2S1 Reservoir in the Southern Pucheng Oilfield"}],"downloadable_attachments":[],"slug":"3D_Fine_Geological_Modeling_of_the_High_Water_Cut_Stage_Reservoir_A_Case_Study_of_the_ES2S1_Reservoir_in_the_Southern_Pucheng_Oilfield","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":55942132,"first_name":"Jinliang","middle_initials":null,"last_name":"Zhang","page_name":"JinliangZhang","domain_name":"ncepu","created_at":"2016-11-01T03:50:34.521-07:00","display_name":"Jinliang Zhang","url":"https://ncepu.academia.edu/JinliangZhang"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2404,"name":"Petrology","url":"https://www.academia.edu/Documents/in/Petrology"},{"id":2950,"name":"Computational Modeling","url":"https://www.academia.edu/Documents/in/Computational_Modeling"},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis"},{"id":12022,"name":"Numerical Analysis","url":"https://www.academia.edu/Documents/in/Numerical_Analysis"},{"id":60658,"name":"Numerical Simulation","url":"https://www.academia.edu/Documents/in/Numerical_Simulation"},{"id":77335,"name":"Faults","url":"https://www.academia.edu/Documents/in/Faults"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":349137,"name":"Data Models","url":"https://www.academia.edu/Documents/in/Data_Models"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional"},{"id":982313,"name":"Faulting","url":"https://www.academia.edu/Documents/in/Faulting"},{"id":983265,"name":"Variogram","url":"https://www.academia.edu/Documents/in/Variogram"},{"id":1010882,"name":"D structure","url":"https://www.academia.edu/Documents/in/D_structure"},{"id":1430080,"name":"Solid Modeling","url":"https://www.academia.edu/Documents/in/Solid_Modeling"}],"urls":[]}, dispatcherData: dispatcherData }); 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