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data-dom-id="Pill-react-component-a21a1917-d280-4d06-b79c-a844141ba674"></div> <div id="Pill-react-component-a21a1917-d280-4d06-b79c-a844141ba674"></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 Gualtiero Boehm</h3></div><div class="js-work-strip profile--work_container" data-work-id="99747825"><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/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters"><img alt="Research paper thumbnail of A field assessment of site-specific correlations between hydraulic and geophysical parameters" class="work-thumbnail" src="https://attachments.academia-assets.com/100754444/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/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters">A field assessment of site-specific correlations between hydraulic and geophysical parameters</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba7161417c5d74b45d427a9c4087726c" class="wp-workCard--action" 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hydraulic tomographic and geophysical tomographic measurements to define site-specific relationships between geophysical and hydraulic parameters was investigated. We exploit the high-spatial resolution of hydraulic and geophysical tomographic images to define a representative and reliable site-specific relationship, if it exists, over an area, where geophysical and hydraulic tests are performed. The parameters involved in this study were: seismic P-wave velocity derived from seismic tomography; resistivity and electrical conductivity derived from electrical tomography (ERT); diffusivity, hydraulic conductivity and specific storage derived from hydraulic tomography. We derived a site-specific correlation function between the parameters P-wave velocity and diffusivity that shows the highest correlation of all hydraulic and geophysical parameter combinations. The transformation of the P-wave velocity field into a diffusivity field using the estimated site-specific correlation function allowed us to increase the significance of hydraulic tomographic as well as seismic tomographic measurements with respect to the spatial diffusivity distribution in the near subsurface. defined based on the area were hydraulic data and geophysical data are performed. Discussions about the limits of such site-specific relationships are often determined by the inherent limitations of geophysical measurements or inversion techniques (Hubbard et al. 1999; Day-Lewis and Lane 2004; Hinnel et al. 2010), i.e., data errors induced by the applied measurement geometry or the varying spatial resolution of geophysical inversions and their influence on the derivation of site-specific relationships between geophysical and hydrogeological parameters. From the perspective of a hydrogeologist, a discussion about the limitations of hydraulic measurements used for the derivation of a model-based petrophysical or site-specific relationship between hydraulic and geophysical parameters is just as important. Butler (2005) provided an excellent overview about the possibilities and limitations of hydraulic testing methods with respect to their significance, resolution and spatial assignment. In this work he identified two technologies (direct-push technology and hydraulic tomography) that show a high potential for the estimation of hydraulic parameters with high-spatial resolution and accuracy. Direct-push technology uses a hydraulic hammer, supplemented with the weight of a direct-push unit to rapidly advance small diameter tools for well installation or hydraulic FIGURE 1 Plan view of the performed measurement surveys (left). Photograph and map of the geographical position of the test site (right). Site-specific correlations between hydraulic and geophysical parameters 475","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":100754444},"translated_abstract":null,"internal_url":"https://www.academia.edu/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters","translated_internal_url":"","created_at":"2023-04-05T23:42:32.241-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":100754444,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754444/thumbnails/1.jpg","file_name":"1873-0604.201303420230406-1-tk08p8.pdf","download_url":"https://www.academia.edu/attachments/100754444/download_file?st=MTczMjgxOTE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_field_assessment_of_site_specific_corr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754444/1873-0604.201303420230406-1-tk08p8-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3DA_field_assessment_of_site_specific_corr.pdf\u0026Expires=1732822781\u0026Signature=PyZeZ646VkNsh3hITuKGmOY1ohpWjfY2cNkWuV-jQCOrpjSAQioFWu6ScbCq5-lBqpQnzPlEcQl8GU94Q4DfWQROejY-X6t4N7YnVr8qVAsFglhQULl8vUVC0UqOEU2frq5ulTSmaiVd4nnm~lZKuRkLSCO2wboCXUcrtbBKGwF6jJHSWHBX8LCGAgdbodf7dgTp2HwBZVZVvmrVdbTH8IdpoWpozT35SvbCZzNST8L~quVGm9~~r~8JzisiqhuwPaywy44EoV27tqPBFZdFSdLsniMxiGfJQ2acjQQXnF-XN87Dxh9iLm64ZfAoz5gkuqWn4td1iDBzuCSJ81NzYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754444,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754444/thumbnails/1.jpg","file_name":"1873-0604.201303420230406-1-tk08p8.pdf","download_url":"https://www.academia.edu/attachments/100754444/download_file?st=MTczMjgxOTE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_field_assessment_of_site_specific_corr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754444/1873-0604.201303420230406-1-tk08p8-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3DA_field_assessment_of_site_specific_corr.pdf\u0026Expires=1732822781\u0026Signature=PyZeZ646VkNsh3hITuKGmOY1ohpWjfY2cNkWuV-jQCOrpjSAQioFWu6ScbCq5-lBqpQnzPlEcQl8GU94Q4DfWQROejY-X6t4N7YnVr8qVAsFglhQULl8vUVC0UqOEU2frq5ulTSmaiVd4nnm~lZKuRkLSCO2wboCXUcrtbBKGwF6jJHSWHBX8LCGAgdbodf7dgTp2HwBZVZVvmrVdbTH8IdpoWpozT35SvbCZzNST8L~quVGm9~~r~8JzisiqhuwPaywy44EoV27tqPBFZdFSdLsniMxiGfJQ2acjQQXnF-XN87Dxh9iLm64ZfAoz5gkuqWn4td1iDBzuCSJ81NzYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"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"},{"id":411,"name":"Hydrogeology","url":"https://www.academia.edu/Documents/in/Hydrogeology"},{"id":2403,"name":"Environmental Geology","url":"https://www.academia.edu/Documents/in/Environmental_Geology"},{"id":3869,"name":"Geobiology","url":"https://www.academia.edu/Documents/in/Geobiology"},{"id":42192,"name":"Near surface Geophysics","url":"https://www.academia.edu/Documents/in/Near_surface_Geophysics"},{"id":505937,"name":"Regional Geology","url":"https://www.academia.edu/Documents/in/Regional_Geology"}],"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="99747822"><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/99747822/A_geostatistical_framework_for_incorporating_seismic_tomography_auxiliary_data_into_hydraulic_conductivity_estimation"><img alt="Research paper thumbnail of A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation" class="work-thumbnail" src="https://attachments.academia-assets.com/100754455/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/99747822/A_geostatistical_framework_for_incorporating_seismic_tomography_auxiliary_data_into_hydraulic_conductivity_estimation">A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07141e977d5342e8438583ea61399358" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":100754455,"asset_id":99747822,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/100754455/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&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="99747822"><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="99747822"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747822; 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The procedure accounts for the errors in seismic tomography inversion and for the correlation of such errors. The proposed methodology consists of two steps: (1) the cross-variogram inference is carried out using only the data at the wellbore (both hydraulic and seismic); (2) a co-kriging procedure takes the cross-well data into account to interpolate between boreholes. No postulated a-priori relationship is needed. In order to illustrate the methodology a synthetic data set is generated on the basis of evidence from published case studies and simplified physical considerations. The numerical experiments show that the choice of the excitation frequency is critical. A trade-off exists between the need for a highresolution survey (asking for higher freqencies) and the need for a good correlation between hydraulic conductivity and seismic properties (asking for frequencies below the squirt frequency of the medium). In the simulation using seismic data with the best excitation frequency (1 kHz in this case), the mean squared error of the hydraulic conductivity estimate is twothirds lower than using hydraulic data alone. It is important to note also that only a part of the interwell region is adequately sampled by the tomographic experiment. Such a region can be readily identified by calculating the energy of the quasi-null space, through singular value decomposition of the tomographic matrix. In planning this type of experiments, it is necessary to carefully verify case by case whether the adopted range of high frequencies does not prevent the seismic energy from propagating effectively from sources to receivers.","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Journal of 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Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754455,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754455/thumbnails/1.jpg","file_name":"s0022-169428982900084-520230406-1-eseqbd.pdf","download_url":"https://www.academia.edu/attachments/100754455/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_geostatistical_framework_for_incorpora.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754455/s0022-169428982900084-520230406-1-eseqbd-libre.pdf?1680767648=\u0026response-content-disposition=attachment%3B+filename%3DA_geostatistical_framework_for_incorpora.pdf\u0026Expires=1732822782\u0026Signature=DUREN9fXleJLh0mOqK0dN12toyvnC8JOgdlT~lpgJZg4BkGNk94ImZSfAU2KkdBvAGwISBlg4rvMZjsqoY34CdyMFB02wGr6meiD2Lr8MoXwC-hDL8FdH-netqHHL9ByPk~Mx8L4CmA3gxCH3vEDmhFzr19qnzKkK-0PX1UhxggZxMyR3v6JB8DAHvmnJB0iwCPVJmesPPjWYL88560bzdyOEZi7VMkJxYHPE7EiUDVYcaJsQ2bO~-ILPc0hAzx7Bo~TAtxuOY8wLC8Ulob7WhNbhciglx3zZVwbsm0J3uqhZ5lm5jZqgrjWYuGmtDWW9JrMKnES8iqxGDd42SQ1~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":9261,"name":"Geostatistics","url":"https://www.academia.edu/Documents/in/Geostatistics"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":48458,"name":"High Frequency","url":"https://www.academia.edu/Documents/in/High_Frequency"},{"id":85880,"name":"Singular value decomposition","url":"https://www.academia.edu/Documents/in/Singular_value_decomposition"},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study"},{"id":113556,"name":"Ground Water","url":"https://www.academia.edu/Documents/in/Ground_Water"},{"id":139848,"name":"Hydraulic conductivity","url":"https://www.academia.edu/Documents/in/Hydraulic_conductivity"},{"id":193160,"name":"Seismic Inversion","url":"https://www.academia.edu/Documents/in/Seismic_Inversion"},{"id":309086,"name":"High Resolution","url":"https://www.academia.edu/Documents/in/High_Resolution"},{"id":387622,"name":"Borehole","url":"https://www.academia.edu/Documents/in/Borehole"},{"id":491689,"name":"Seismic Tomography","url":"https://www.academia.edu/Documents/in/Seismic_Tomography"},{"id":983265,"name":"Variogram","url":"https://www.academia.edu/Documents/in/Variogram"},{"id":1167632,"name":"Synthetic Data Generation","url":"https://www.academia.edu/Documents/in/Synthetic_Data_Generation"}],"urls":[{"id":30400402,"url":"https://api.elsevier.com/content/article/PII:S0022169498000845?httpAccept=text/xml"}]}, 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="99747819"><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/99747819/Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture"><img alt="Research paper thumbnail of Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture" class="work-thumbnail" src="https://attachments.academia-assets.com/100754373/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/99747819/Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture">Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture</a></div><div class="wp-workCard_item"><span>Journal of Geophysics and Engineering</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c53b9bc4faec947d072498c17171e7bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":100754373,"asset_id":99747819,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/100754373/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&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="99747819"><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 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});</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 99747819, 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: "c53b9bc4faec947d072498c17171e7bf" } } $('.js-work-strip[data-work-id=99747819]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":99747819,"title":"Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture","translated_title":"","metadata":{"publisher":"Oxford University Press (OUP)","grobid_abstract":"By late 2008 one of the most important pieces of the 'Museo delle Antichit脿 Egizie' of Turin, the sculpture of the Pharaoh with god Amun, was planned to be one of the masterpieces of a travelling exhibition in Japan. The 'Fondazione Museo delle Antichit脿 Egizie di Torino', who manages the museum, was concerned with the integrity of the base of the statue which actually presents visible signs of restoration dating back to the early 19th century. It was required to estimate the persistence of the visible fractures, to search for unknown ones and to provide information about the overall mechanical strength of the base. To tackle the first question a GPR reflection survey along three sides of the base was performed and the results were assembled in a 3D rendering. As far as the second question is concerned, two parallel, horizontal ultrasonic 2D tomograms across the base were made. We acquired, for each section, 723 ultrasonic signals corresponding to different transmitter and receiver positions. The tomographic data were inverted using four different software packages based upon different algorithms. The obtained velocity images were then compared each other, with the GPR results and with the visible fractures in the base. A critical analysis of the comparisons is finally presented.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Journal of Geophysics and Engineering","grobid_abstract_attachment_id":100754373},"translated_abstract":null,"internal_url":"https://www.academia.edu/99747819/Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture","translated_internal_url":"","created_at":"2023-04-05T23:42:31.732-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":100754373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754373/thumbnails/1.jpg","file_name":"jge11_3_s10.pdf","download_url":"https://www.academia.edu/attachments/100754373/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Comparison_between_GPR_measurements_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754373/jge11_3_s10-libre.pdf?1680763366=\u0026response-content-disposition=attachment%3B+filename%3DComparison_between_GPR_measurements_and.pdf\u0026Expires=1732822782\u0026Signature=UB7BYG4Rl8N71fzq-jVCefq-wu810efK2S-Lbc0yiwZcnbI3StbQ-OLqbuM~uAqV0HgbwsTLUf5AB1O6C5JmuC-J1HkJOYA42yBogGD9BVdMw~VY7RRM7220Ey3ItQx8jtq3he5ApufJN-8lP7cIUV5e1M4WYSButx83VafQ~eId3AB6CilORTYXWSA1tfZkFBgVwVP6j3nAQLnFuPy4o17UIO48KFQeMIbO5dYrR8gCu1DqATpQHhWzdX9rEpuFpsKJ8K4xZIZl001hjcSVDEmXYEYDC~JL21lm-sI4jVDinjaVAh1aSh6C2B~jpZTDNmmkJvHKn1oGKOMDTv-rRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754373/thumbnails/1.jpg","file_name":"jge11_3_s10.pdf","download_url":"https://www.academia.edu/attachments/100754373/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Comparison_between_GPR_measurements_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754373/jge11_3_s10-libre.pdf?1680763366=\u0026response-content-disposition=attachment%3B+filename%3DComparison_between_GPR_measurements_and.pdf\u0026Expires=1732822782\u0026Signature=UB7BYG4Rl8N71fzq-jVCefq-wu810efK2S-Lbc0yiwZcnbI3StbQ-OLqbuM~uAqV0HgbwsTLUf5AB1O6C5JmuC-J1HkJOYA42yBogGD9BVdMw~VY7RRM7220Ey3ItQx8jtq3he5ApufJN-8lP7cIUV5e1M4WYSButx83VafQ~eId3AB6CilORTYXWSA1tfZkFBgVwVP6j3nAQLnFuPy4o17UIO48KFQeMIbO5dYrR8gCu1DqATpQHhWzdX9rEpuFpsKJ8K4xZIZl001hjcSVDEmXYEYDC~JL21lm-sI4jVDinjaVAh1aSh6C2B~jpZTDNmmkJvHKn1oGKOMDTv-rRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics"},{"id":13379,"name":"Sculpture","url":"https://www.academia.edu/Documents/in/Sculpture"},{"id":13664,"name":"Ground Penetrating Radar","url":"https://www.academia.edu/Documents/in/Ground_Penetrating_Radar"},{"id":1144251,"name":"Ultrasonic Sensor","url":"https://www.academia.edu/Documents/in/Ultrasonic_Sensor"},{"id":1649942,"name":"Geophysics Engineering","url":"https://www.academia.edu/Documents/in/Geophysics_Engineering"},{"id":2057366,"name":"Software Package","url":"https://www.academia.edu/Documents/in/Software_Package"},{"id":2777214,"name":"Mechanical strength","url":"https://www.academia.edu/Documents/in/Mechanical_strength"}],"urls":[{"id":30400399,"url":"http://academic.oup.com/jge/article-pdf/8/3/S106/26801869/jge11_3_s10.pdf"}]}, 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="99747817"><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/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea"><img alt="Research paper thumbnail of Tomographic imaging by reflected and refracted arrivals at the North Sea" 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/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea">Tomographic imaging by reflected and refracted arrivals at the North Sea</a></div><div class="wp-workCard_item"><span>GEOPHYSICS</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We c...</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">We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.</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="99747817"><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="99747817"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747817; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=99747817]").text(description); $(".js-view-count[data-work-id=99747817]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 99747817; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='99747817']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 99747817, 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" } } $('.js-work-strip[data-work-id=99747817]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":99747817,"title":"Tomographic imaging by reflected and refracted arrivals at the North Sea","translated_title":"","metadata":{"abstract":"We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.","publisher":"Society of Exploration Geophysicists","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"GEOPHYSICS"},"translated_abstract":"We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.","internal_url":"https://www.academia.edu/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea","translated_internal_url":"","created_at":"2023-04-05T23:42:31.530-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"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"},{"id":13883,"name":"Seismology","url":"https://www.academia.edu/Documents/in/Seismology"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":531422,"name":"North Sea","url":"https://www.academia.edu/Documents/in/North_Sea"},{"id":958429,"name":"Reciprocal","url":"https://www.academia.edu/Documents/in/Reciprocal"}],"urls":[{"id":30400397,"url":"https://library.seg.org/doi/pdf/10.1190/1.1444691"}]}, 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="99747812"><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/99747812/Time_lapse_tomography"><img alt="Research paper thumbnail of Time鈥恖apse tomography" 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/99747812/Time_lapse_tomography">Time鈥恖apse tomography</a></div><div class="wp-workCard_item"><span>GEOPHYSICS</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas pr...</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 time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...</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="99747812"><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="99747812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=99747812]").text(description); $(".js-view-count[data-work-id=99747812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 99747812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='99747812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 99747812, 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" } } $('.js-work-strip[data-work-id=99747812]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":99747812,"title":"Time鈥恖apse tomography","translated_title":"","metadata":{"abstract":"In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...","publisher":"Society of Exploration Geophysicists","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"GEOPHYSICS"},"translated_abstract":"In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...","internal_url":"https://www.academia.edu/99747812/Time_lapse_tomography","translated_internal_url":"","created_at":"2023-04-05T23:42:31.319-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Time_lapse_tomography","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"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"},{"id":4850,"name":"Migration","url":"https://www.academia.edu/Documents/in/Migration"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":59128,"name":"Natural Gas","url":"https://www.academia.edu/Documents/in/Natural_Gas"},{"id":65140,"name":"Models","url":"https://www.academia.edu/Documents/in/Models"},{"id":76052,"name":"Depth","url":"https://www.academia.edu/Documents/in/Depth"},{"id":76849,"name":"Reservoir","url":"https://www.academia.edu/Documents/in/Reservoir"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":337500,"name":"Velocity","url":"https://www.academia.edu/Documents/in/Velocity"},{"id":491689,"name":"Seismic Tomography","url":"https://www.academia.edu/Documents/in/Seismic_Tomography"},{"id":531587,"name":"Overburden","url":"https://www.academia.edu/Documents/in/Overburden"},{"id":811543,"name":"Seasonal Variations","url":"https://www.academia.edu/Documents/in/Seasonal_Variations"},{"id":1406217,"name":"Tomograf铆a","url":"https://www.academia.edu/Documents/in/Tomografia"}],"urls":[{"id":30400393,"url":"https://library.seg.org/doi/pdf/10.1190/1.1581034"}]}, dispatcherData: dispatcherData }); 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However, by adapting the local resolution iteratively, by means of a singular value analysis of the tomographic matrix, we can reduce or eliminate the null space influence on our earth image: in this way, we get a much more reliable estimate of the velocity field of seismic waves. We describe an algorithm for an automatic regridding, able to fit the local resolution to the available raypaths, which is based on Delaunay triangulation and Voronoi tessellation. It increases the local pixel density where the null space energy is low or the velocity gradient is large, and reduces it elsewhere. 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$(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="2846127" id="papers"><div class="js-work-strip profile--work_container" data-work-id="99747825"><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/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters"><img alt="Research paper thumbnail of A field assessment of site-specific correlations between hydraulic and geophysical parameters" class="work-thumbnail" src="https://attachments.academia-assets.com/100754444/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/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters">A field assessment of site-specific correlations between hydraulic and geophysical parameters</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba7161417c5d74b45d427a9c4087726c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":100754444,"asset_id":99747825,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/100754444/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4MSw4LjIyMi4yMDguMTQ2&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="99747825"><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="99747825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747825; 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We exploit the high-spatial resolution of hydraulic and geophysical tomographic images to define a representative and reliable site-specific relationship, if it exists, over an area, where geophysical and hydraulic tests are performed. The parameters involved in this study were: seismic P-wave velocity derived from seismic tomography; resistivity and electrical conductivity derived from electrical tomography (ERT); diffusivity, hydraulic conductivity and specific storage derived from hydraulic tomography. We derived a site-specific correlation function between the parameters P-wave velocity and diffusivity that shows the highest correlation of all hydraulic and geophysical parameter combinations. The transformation of the P-wave velocity field into a diffusivity field using the estimated site-specific correlation function allowed us to increase the significance of hydraulic tomographic as well as seismic tomographic measurements with respect to the spatial diffusivity distribution in the near subsurface. defined based on the area were hydraulic data and geophysical data are performed. Discussions about the limits of such site-specific relationships are often determined by the inherent limitations of geophysical measurements or inversion techniques (Hubbard et al. 1999; Day-Lewis and Lane 2004; Hinnel et al. 2010), i.e., data errors induced by the applied measurement geometry or the varying spatial resolution of geophysical inversions and their influence on the derivation of site-specific relationships between geophysical and hydrogeological parameters. From the perspective of a hydrogeologist, a discussion about the limitations of hydraulic measurements used for the derivation of a model-based petrophysical or site-specific relationship between hydraulic and geophysical parameters is just as important. Butler (2005) provided an excellent overview about the possibilities and limitations of hydraulic testing methods with respect to their significance, resolution and spatial assignment. In this work he identified two technologies (direct-push technology and hydraulic tomography) that show a high potential for the estimation of hydraulic parameters with high-spatial resolution and accuracy. Direct-push technology uses a hydraulic hammer, supplemented with the weight of a direct-push unit to rapidly advance small diameter tools for well installation or hydraulic FIGURE 1 Plan view of the performed measurement surveys (left). Photograph and map of the geographical position of the test site (right). Site-specific correlations between hydraulic and geophysical parameters 475","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":100754444},"translated_abstract":null,"internal_url":"https://www.academia.edu/99747825/A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters","translated_internal_url":"","created_at":"2023-04-05T23:42:32.241-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":100754444,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754444/thumbnails/1.jpg","file_name":"1873-0604.201303420230406-1-tk08p8.pdf","download_url":"https://www.academia.edu/attachments/100754444/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_field_assessment_of_site_specific_corr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754444/1873-0604.201303420230406-1-tk08p8-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3DA_field_assessment_of_site_specific_corr.pdf\u0026Expires=1732822781\u0026Signature=PyZeZ646VkNsh3hITuKGmOY1ohpWjfY2cNkWuV-jQCOrpjSAQioFWu6ScbCq5-lBqpQnzPlEcQl8GU94Q4DfWQROejY-X6t4N7YnVr8qVAsFglhQULl8vUVC0UqOEU2frq5ulTSmaiVd4nnm~lZKuRkLSCO2wboCXUcrtbBKGwF6jJHSWHBX8LCGAgdbodf7dgTp2HwBZVZVvmrVdbTH8IdpoWpozT35SvbCZzNST8L~quVGm9~~r~8JzisiqhuwPaywy44EoV27tqPBFZdFSdLsniMxiGfJQ2acjQQXnF-XN87Dxh9iLm64ZfAoz5gkuqWn4td1iDBzuCSJ81NzYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_field_assessment_of_site_specific_correlations_between_hydraulic_and_geophysical_parameters","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754444,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754444/thumbnails/1.jpg","file_name":"1873-0604.201303420230406-1-tk08p8.pdf","download_url":"https://www.academia.edu/attachments/100754444/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_field_assessment_of_site_specific_corr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754444/1873-0604.201303420230406-1-tk08p8-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3DA_field_assessment_of_site_specific_corr.pdf\u0026Expires=1732822781\u0026Signature=PyZeZ646VkNsh3hITuKGmOY1ohpWjfY2cNkWuV-jQCOrpjSAQioFWu6ScbCq5-lBqpQnzPlEcQl8GU94Q4DfWQROejY-X6t4N7YnVr8qVAsFglhQULl8vUVC0UqOEU2frq5ulTSmaiVd4nnm~lZKuRkLSCO2wboCXUcrtbBKGwF6jJHSWHBX8LCGAgdbodf7dgTp2HwBZVZVvmrVdbTH8IdpoWpozT35SvbCZzNST8L~quVGm9~~r~8JzisiqhuwPaywy44EoV27tqPBFZdFSdLsniMxiGfJQ2acjQQXnF-XN87Dxh9iLm64ZfAoz5gkuqWn4td1iDBzuCSJ81NzYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"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"},{"id":411,"name":"Hydrogeology","url":"https://www.academia.edu/Documents/in/Hydrogeology"},{"id":2403,"name":"Environmental Geology","url":"https://www.academia.edu/Documents/in/Environmental_Geology"},{"id":3869,"name":"Geobiology","url":"https://www.academia.edu/Documents/in/Geobiology"},{"id":42192,"name":"Near surface Geophysics","url":"https://www.academia.edu/Documents/in/Near_surface_Geophysics"},{"id":505937,"name":"Regional Geology","url":"https://www.academia.edu/Documents/in/Regional_Geology"}],"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="99747822"><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/99747822/A_geostatistical_framework_for_incorporating_seismic_tomography_auxiliary_data_into_hydraulic_conductivity_estimation"><img alt="Research paper thumbnail of A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation" class="work-thumbnail" src="https://attachments.academia-assets.com/100754455/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/99747822/A_geostatistical_framework_for_incorporating_seismic_tomography_auxiliary_data_into_hydraulic_conductivity_estimation">A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07141e977d5342e8438583ea61399358" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":100754455,"asset_id":99747822,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/100754455/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&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="99747822"><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="99747822"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747822; 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The procedure accounts for the errors in seismic tomography inversion and for the correlation of such errors. The proposed methodology consists of two steps: (1) the cross-variogram inference is carried out using only the data at the wellbore (both hydraulic and seismic); (2) a co-kriging procedure takes the cross-well data into account to interpolate between boreholes. No postulated a-priori relationship is needed. In order to illustrate the methodology a synthetic data set is generated on the basis of evidence from published case studies and simplified physical considerations. The numerical experiments show that the choice of the excitation frequency is critical. A trade-off exists between the need for a highresolution survey (asking for higher freqencies) and the need for a good correlation between hydraulic conductivity and seismic properties (asking for frequencies below the squirt frequency of the medium). In the simulation using seismic data with the best excitation frequency (1 kHz in this case), the mean squared error of the hydraulic conductivity estimate is twothirds lower than using hydraulic data alone. It is important to note also that only a part of the interwell region is adequately sampled by the tomographic experiment. Such a region can be readily identified by calculating the energy of the quasi-null space, through singular value decomposition of the tomographic matrix. In planning this type of experiments, it is necessary to carefully verify case by case whether the adopted range of high frequencies does not prevent the seismic energy from propagating effectively from sources to receivers.","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Journal of 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thumbnail of Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture" class="work-thumbnail" src="https://attachments.academia-assets.com/100754373/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/99747819/Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture">Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture</a></div><div class="wp-workCard_item"><span>Journal of Geophysics and Engineering</span><span>, 2011</span></div><div class="wp-workCard_item 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{"id":99747819,"title":"Comparison between GPR measurements and ultrasonic tomography with different inversion algorithms: an application to the base of an ancient Egyptian sculpture","translated_title":"","metadata":{"publisher":"Oxford University Press (OUP)","grobid_abstract":"By late 2008 one of the most important pieces of the 'Museo delle Antichit脿 Egizie' of Turin, the sculpture of the Pharaoh with god Amun, was planned to be one of the masterpieces of a travelling exhibition in Japan. The 'Fondazione Museo delle Antichit脿 Egizie di Torino', who manages the museum, was concerned with the integrity of the base of the statue which actually presents visible signs of restoration dating back to the early 19th century. It was required to estimate the persistence of the visible fractures, to search for unknown ones and to provide information about the overall mechanical strength of the base. To tackle the first question a GPR reflection survey along three sides of the base was performed and the results were assembled in a 3D rendering. As far as the second question is concerned, two parallel, horizontal ultrasonic 2D tomograms across the base were made. We acquired, for each section, 723 ultrasonic signals corresponding to different transmitter and receiver positions. The tomographic data were inverted using four different software packages based upon different algorithms. The obtained velocity images were then compared each other, with the GPR results and with the visible fractures in the base. A critical analysis of the comparisons is finally presented.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Journal of Geophysics and Engineering","grobid_abstract_attachment_id":100754373},"translated_abstract":null,"internal_url":"https://www.academia.edu/99747819/Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture","translated_internal_url":"","created_at":"2023-04-05T23:42:31.732-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":100754373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754373/thumbnails/1.jpg","file_name":"jge11_3_s10.pdf","download_url":"https://www.academia.edu/attachments/100754373/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Comparison_between_GPR_measurements_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754373/jge11_3_s10-libre.pdf?1680763366=\u0026response-content-disposition=attachment%3B+filename%3DComparison_between_GPR_measurements_and.pdf\u0026Expires=1732822782\u0026Signature=UB7BYG4Rl8N71fzq-jVCefq-wu810efK2S-Lbc0yiwZcnbI3StbQ-OLqbuM~uAqV0HgbwsTLUf5AB1O6C5JmuC-J1HkJOYA42yBogGD9BVdMw~VY7RRM7220Ey3ItQx8jtq3he5ApufJN-8lP7cIUV5e1M4WYSButx83VafQ~eId3AB6CilORTYXWSA1tfZkFBgVwVP6j3nAQLnFuPy4o17UIO48KFQeMIbO5dYrR8gCu1DqATpQHhWzdX9rEpuFpsKJ8K4xZIZl001hjcSVDEmXYEYDC~JL21lm-sI4jVDinjaVAh1aSh6C2B~jpZTDNmmkJvHKn1oGKOMDTv-rRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Comparison_between_GPR_measurements_and_ultrasonic_tomography_with_different_inversion_algorithms_an_application_to_the_base_of_an_ancient_Egyptian_sculpture","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754373/thumbnails/1.jpg","file_name":"jge11_3_s10.pdf","download_url":"https://www.academia.edu/attachments/100754373/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Comparison_between_GPR_measurements_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754373/jge11_3_s10-libre.pdf?1680763366=\u0026response-content-disposition=attachment%3B+filename%3DComparison_between_GPR_measurements_and.pdf\u0026Expires=1732822782\u0026Signature=UB7BYG4Rl8N71fzq-jVCefq-wu810efK2S-Lbc0yiwZcnbI3StbQ-OLqbuM~uAqV0HgbwsTLUf5AB1O6C5JmuC-J1HkJOYA42yBogGD9BVdMw~VY7RRM7220Ey3ItQx8jtq3he5ApufJN-8lP7cIUV5e1M4WYSButx83VafQ~eId3AB6CilORTYXWSA1tfZkFBgVwVP6j3nAQLnFuPy4o17UIO48KFQeMIbO5dYrR8gCu1DqATpQHhWzdX9rEpuFpsKJ8K4xZIZl001hjcSVDEmXYEYDC~JL21lm-sI4jVDinjaVAh1aSh6C2B~jpZTDNmmkJvHKn1oGKOMDTv-rRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":409,"name":"Geophysics","url":"https://www.academia.edu/Documents/in/Geophysics"},{"id":13379,"name":"Sculpture","url":"https://www.academia.edu/Documents/in/Sculpture"},{"id":13664,"name":"Ground Penetrating Radar","url":"https://www.academia.edu/Documents/in/Ground_Penetrating_Radar"},{"id":1144251,"name":"Ultrasonic Sensor","url":"https://www.academia.edu/Documents/in/Ultrasonic_Sensor"},{"id":1649942,"name":"Geophysics Engineering","url":"https://www.academia.edu/Documents/in/Geophysics_Engineering"},{"id":2057366,"name":"Software Package","url":"https://www.academia.edu/Documents/in/Software_Package"},{"id":2777214,"name":"Mechanical strength","url":"https://www.academia.edu/Documents/in/Mechanical_strength"}],"urls":[{"id":30400399,"url":"http://academic.oup.com/jge/article-pdf/8/3/S106/26801869/jge11_3_s10.pdf"}]}, 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="99747817"><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/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea"><img alt="Research paper thumbnail of Tomographic imaging by reflected and refracted arrivals at the North Sea" 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/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea">Tomographic imaging by reflected and refracted arrivals at the North Sea</a></div><div class="wp-workCard_item"><span>GEOPHYSICS</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We c...</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">We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.</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="99747817"><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="99747817"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747817; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=99747817]").text(description); $(".js-view-count[data-work-id=99747817]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 99747817; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='99747817']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 99747817, 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" } } $('.js-work-strip[data-work-id=99747817]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":99747817,"title":"Tomographic imaging by reflected and refracted arrivals at the North Sea","translated_title":"","metadata":{"abstract":"We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.","publisher":"Society of Exploration Geophysicists","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"GEOPHYSICS"},"translated_abstract":"We discuss some processing steps of a marine 3-D data set from the Oseberg field, North Sea. We compare the prestack depth鈥恗igrated images obtained by the velocity fields provided by different tools: velocity spectra, reflection tomography, and joint tomographic inversion of reflected and refracted arrivals. The last ones are definitely better. We also produced a synthetic example by modeling the estimated earth structure and the actual recording geometry, and we reached similar conclusions. The correlation between reflected and refracted signals may be unclear for later arrivals because of their reciprocal interference and multiple reflections. We adopt a technique based on a surgical mute in the 蟿-p domain, which allows coupling the signals coming from the same elastic interface.","internal_url":"https://www.academia.edu/99747817/Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea","translated_internal_url":"","created_at":"2023-04-05T23:42:31.530-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Tomographic_imaging_by_reflected_and_refracted_arrivals_at_the_North_Sea","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"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"},{"id":13883,"name":"Seismology","url":"https://www.academia.edu/Documents/in/Seismology"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":531422,"name":"North Sea","url":"https://www.academia.edu/Documents/in/North_Sea"},{"id":958429,"name":"Reciprocal","url":"https://www.academia.edu/Documents/in/Reciprocal"}],"urls":[{"id":30400397,"url":"https://library.seg.org/doi/pdf/10.1190/1.1444691"}]}, 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="99747812"><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/99747812/Time_lapse_tomography"><img alt="Research paper thumbnail of Time鈥恖apse tomography" 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/99747812/Time_lapse_tomography">Time鈥恖apse tomography</a></div><div class="wp-workCard_item"><span>GEOPHYSICS</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas pr...</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 time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...</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="99747812"><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="99747812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=99747812]").text(description); $(".js-view-count[data-work-id=99747812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 99747812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='99747812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 99747812, 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" } } $('.js-work-strip[data-work-id=99747812]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":99747812,"title":"Time鈥恖apse tomography","translated_title":"","metadata":{"abstract":"In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...","publisher":"Society of Exploration Geophysicists","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"GEOPHYSICS"},"translated_abstract":"In time鈥恖apse analysis, we have to distinguish the seismic response changes due to oil and gas production at a reservoir over the years from several other causes, such as the recording signature and random noise. In this paper, we focus our attention on the velocity macromodel provided by seismic tomography, which is a basic tool for the data regularization, its depth or time migration, and a possible final subtraction among different vintages. We show first that we cannot use just a single velocity model for all data sets, because of seasonal variations of the overburden velocity (which is mainly due to seawater temperature in marine cases and to the water table depth in land cases). However, we can exploit the basic assumption of time鈥恖apse analysis for constraining reflection/refraction tomography, i.e., by imposing the constraint that the layer structure and the local velocities do not change outside the reservoir (and in the shallowest part) over time. We thus get coupled model...","internal_url":"https://www.academia.edu/99747812/Time_lapse_tomography","translated_internal_url":"","created_at":"2023-04-05T23:42:31.319-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Time_lapse_tomography","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"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"},{"id":4850,"name":"Migration","url":"https://www.academia.edu/Documents/in/Migration"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":59128,"name":"Natural Gas","url":"https://www.academia.edu/Documents/in/Natural_Gas"},{"id":65140,"name":"Models","url":"https://www.academia.edu/Documents/in/Models"},{"id":76052,"name":"Depth","url":"https://www.academia.edu/Documents/in/Depth"},{"id":76849,"name":"Reservoir","url":"https://www.academia.edu/Documents/in/Reservoir"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature"},{"id":193156,"name":"Reservoirs","url":"https://www.academia.edu/Documents/in/Reservoirs"},{"id":337500,"name":"Velocity","url":"https://www.academia.edu/Documents/in/Velocity"},{"id":491689,"name":"Seismic Tomography","url":"https://www.academia.edu/Documents/in/Seismic_Tomography"},{"id":531587,"name":"Overburden","url":"https://www.academia.edu/Documents/in/Overburden"},{"id":811543,"name":"Seasonal Variations","url":"https://www.academia.edu/Documents/in/Seasonal_Variations"},{"id":1406217,"name":"Tomograf铆a","url":"https://www.academia.edu/Documents/in/Tomografia"}],"urls":[{"id":30400393,"url":"https://library.seg.org/doi/pdf/10.1190/1.1581034"}]}, 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="99747811"><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/99747811/3D_adaptive_tomography_using_Delaunay_triangles_and_Voronoi_polygons"><img alt="Research paper thumbnail of 3D adaptive tomography using Delaunay triangles and Voronoi polygons" class="work-thumbnail" src="https://attachments.academia-assets.com/100754424/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/99747811/3D_adaptive_tomography_using_Delaunay_triangles_and_Voronoi_polygons">3D adaptive tomography using Delaunay triangles and Voronoi polygons</a></div><div class="wp-workCard_item"><span>Geophysical Prospecting</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5adae55fd9d746649ed32b312f4c5a27" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":100754424,"asset_id":99747811,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/100754424/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&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="99747811"><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="99747811"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 99747811; 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However, by adapting the local resolution iteratively, by means of a singular value analysis of the tomographic matrix, we can reduce or eliminate the null space influence on our earth image: in this way, we get a much more reliable estimate of the velocity field of seismic waves. We describe an algorithm for an automatic regridding, able to fit the local resolution to the available raypaths, which is based on Delaunay triangulation and Voronoi tessellation. It increases the local pixel density where the null space energy is low or the velocity gradient is large, and reduces it elsewhere. Consequently, the tomographic image can reveal the boundaries of complex objects, but is not affected by the ambiguities that occur when the grid resolution is not adequately supported by the available raypaths.","publication_date":{"day":null,"month":null,"year":2000,"errors":{}},"publication_name":"Geophysical Prospecting","grobid_abstract_attachment_id":100754424},"translated_abstract":null,"internal_url":"https://www.academia.edu/99747811/3D_adaptive_tomography_using_Delaunay_triangles_and_Voronoi_polygons","translated_internal_url":"","created_at":"2023-04-05T23:42:31.129-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":29586915,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":100754424,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754424/thumbnails/1.jpg","file_name":"j.1365-2478.2000.00211.x20230406-1-d68r0w.pdf","download_url":"https://www.academia.edu/attachments/100754424/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"3D_adaptive_tomography_using_Delaunay_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754424/j.1365-2478.2000.00211.x20230406-1-d68r0w-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3D3D_adaptive_tomography_using_Delaunay_tr.pdf\u0026Expires=1732822782\u0026Signature=brCPeeavbLC8k-lr0Yd2lAqi9jJkF0a7ncsX29cvbW98Z0oWRm7oOF5JhxOpf~x0yGBXniifuEE-5sIMVwe9~8ikY9qX1yiwprPVSO0Ap5QZqrY4CJTy5UsAr8UVZ41UGpsgfGx2sMXQa1YrtcvZguxuk0I6quiXVKj93CXvcqzxD1WOnBbTo3uhcQ1DH6AHzShNRrhN8DoUFZ1V6Uos3910Ch95R0PvpJGmlqOr0RYbMG4GDaXAGPufLR5lrSUUzegSnkgjcMiQVG7uoPu29ZFu4N8SpN~vVNISNeKv2KixWt-QcPkQEO2Zfg8RJz4cmL8nFyk1bsSQupsZWHlQxg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"3D_adaptive_tomography_using_Delaunay_triangles_and_Voronoi_polygons","translated_slug":"","page_count":22,"language":"en","content_type":"Work","owner":{"id":29586915,"first_name":"Gualtiero","middle_initials":null,"last_name":"Boehm","page_name":"GualtieroBoehm","domain_name":"independent","created_at":"2015-04-14T04:32:47.956-07:00","display_name":"Gualtiero Boehm","url":"https://independent.academia.edu/GualtieroBoehm"},"attachments":[{"id":100754424,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/100754424/thumbnails/1.jpg","file_name":"j.1365-2478.2000.00211.x20230406-1-d68r0w.pdf","download_url":"https://www.academia.edu/attachments/100754424/download_file?st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&st=MTczMjgxOTE4Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"3D_adaptive_tomography_using_Delaunay_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/100754424/j.1365-2478.2000.00211.x20230406-1-d68r0w-libre.pdf?1680767644=\u0026response-content-disposition=attachment%3B+filename%3D3D_adaptive_tomography_using_Delaunay_tr.pdf\u0026Expires=1732822782\u0026Signature=brCPeeavbLC8k-lr0Yd2lAqi9jJkF0a7ncsX29cvbW98Z0oWRm7oOF5JhxOpf~x0yGBXniifuEE-5sIMVwe9~8ikY9qX1yiwprPVSO0Ap5QZqrY4CJTy5UsAr8UVZ41UGpsgfGx2sMXQa1YrtcvZguxuk0I6quiXVKj93CXvcqzxD1WOnBbTo3uhcQ1DH6AHzShNRrhN8DoUFZ1V6Uos3910Ch95R0PvpJGmlqOr0RYbMG4GDaXAGPufLR5lrSUUzegSnkgjcMiQVG7uoPu29ZFu4N8SpN~vVNISNeKv2KixWt-QcPkQEO2Zfg8RJz4cmL8nFyk1bsSQupsZWHlQxg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"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"},{"id":36022,"name":"Tomography","url":"https://www.academia.edu/Documents/in/Tomography"},{"id":56760,"name":"Geophysical Prospecting","url":"https://www.academia.edu/Documents/in/Geophysical_Prospecting"},{"id":837243,"name":"Delaunay Triangulation","url":"https://www.academia.edu/Documents/in/Delaunay_Triangulation"},{"id":1695682,"name":"Voronoi Diagram","url":"https://www.academia.edu/Documents/in/Voronoi_Diagram"}],"urls":[{"id":30400392,"url":"http://onlinelibrary.wiley.com/wol1/doi/10.1046/j.1365-2478.2000.00211.x/fullpdf"}]}, dispatcherData: dispatcherData }); 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