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style="margin: 0px;"><b>Address: </b>Butte, Montana, United States<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></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="41368236" href="https://www.academia.edu/Documents/in/Low_Speed_Aerodynamics"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://mtech.academia.edu/CLink","location":"/CLink","scheme":"https","host":"mtech.academia.edu","port":null,"pathname":"/CLink","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":["Low Speed Aerodynamics"]}" 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Link</h3></div><div class="js-work-strip profile--work_container" data-work-id="86841685"><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/86841685/Soil_below_the_water_table_may_not_be_saturated_how_much_air_is_entrapped_and_what_are_the_implications_for_seismic_determination_of_depth_to_water_table"><img alt="Research paper thumbnail of Soil below the water table may not be saturated: how much air is entrapped and what are the implications for seismic determination of depth to water table?" class="work-thumbnail" src="https://attachments.academia-assets.com/91205749/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/86841685/Soil_below_the_water_table_may_not_be_saturated_how_much_air_is_entrapped_and_what_are_the_implications_for_seismic_determination_of_depth_to_water_table">Soil below the water table may not be saturated: how much air is entrapped and what are the implications for seismic determination of depth to water table?</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="246952ea7eac35a096e6bb088310f046" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91205749,"asset_id":86841685,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91205749/download_file?st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&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 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/81558430/The_Effect_of_Smoothing_First_Arrival_Times_and_the_Initial_Velocity_Model_on_Refraction_Tomography_Results">The Effect of Smoothing First Arrival Times and the Initial Velocity Model on Refraction Tomography Results</a></div><div class="wp-workCard_item"><span>Symposium on the Application of Geophysics to Engineering and Environmental Problems 2011</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="81558430"><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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$(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="69434731"><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/69434731/Interpretation_of_Shallow_Stratigraphic_Facies_Using_Artificial_Neural_Networks_and_Borehole_Geophysical_Data"><img alt="Research paper thumbnail of Interpretation of Shallow Stratigraphic Facies Using Artificial Neural Networks and Borehole Geophysical Data" 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/69434731/Interpretation_of_Shallow_Stratigraphic_Facies_Using_Artificial_Neural_Networks_and_Borehole_Geophysical_Data">Interpretation of Shallow Stratigraphic Facies Using Artificial Neural Networks and Borehole Geophysical Data</a></div><div class="wp-workCard_item"><span>Symposium on the Application of Geophysics to Engineering and Environmental Problems 1998</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A study has recently been conducted to assess the extent of hydrocarbon impacts to groundwater an...</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">A study has recently been conducted to assess the extent of hydrocarbon impacts to groundwater and soil resources at a petroleum refinery site in Billings, Montana. To accomplish the study, forty-six groundwater monitoring wells were installed at the site. Data collected from the wells included detailed lithologic descriptions from split-spoon samples, cutting returns from air rotary drilling, and suites of geophysical well logs. Because the quality of the lithologic descriptions from the borings was erratic, our approach was to produce lithofacies interpretations based on gamma ray logs input into a neural network classifier system. The type of neural network used was a self-organizing map. This type of network does not require user interpretations, instead, the network categorizes each input vector into a class based on similarity to other input vectors. The number of output classes is determined by the user. The output classifications were then plotted as ‘pseudo-logs’ and correlation performed using these pseudo-logs. 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To accomplish the study, 46 groundwater-monitoring wells were installed at the site. Data collected from the wells included detailed lithologic descriptions from samples and cuttings, and suites of geophysical well logs. 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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="69434726"><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/69434726/Blind_Test_of_Methods_for_Obtaining_2_D_Near_Surface_Seismic_Velocity_Models_from_First_Arrival_Traveltimes"><img alt="Research paper thumbnail of Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes" class="work-thumbnail" src="https://attachments.academia-assets.com/79534716/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/69434726/Blind_Test_of_Methods_for_Obtaining_2_D_Near_Surface_Seismic_Velocity_Models_from_First_Arrival_Traveltimes">Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes</a></div><div class="wp-workCard_item"><span>Journal of Environmental & Engineering Geophysics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Seismic refraction methods are used in environmental and engineering studies to image the shallow...</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">Seismic refraction methods are used in environmental and engineering studies to image the shallow subsurface. We present a blind test of inversion and tomographic refraction analysis methods using a synthetic first-arrival-time dataset that was made available to the community in 2010. The data are realistic in terms of the near-surface velocity model, shot-receiver geometry and the data&#39;s frequency and added noise. Fourteen estimated models were determined by ten participants using eight different inversion algorithms, with the true model unknown to the participants until it was revealed at a session at the 2011 SAGEEP meeting. The estimated models are generally consistent in terms of their large-scale features, demonstrating the robustness of refraction data inversion in general, and the eight inversion algorithms in particular. When compared to the true model, all of the estimated models contain a smooth expression of its two main features: a large offset in the bedrock and th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea0be51b4ab05a2cffc896e1e68bab63" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79534716,"asset_id":69434726,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79534716/download_file?st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&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="69434726"><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="69434726"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69434726; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69434726]").text(description); $(".js-view-count[data-work-id=69434726]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69434726; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='69434726']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 69434726, 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: "ea0be51b4ab05a2cffc896e1e68bab63" } } $('.js-work-strip[data-work-id=69434726]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":69434726,"title":"Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes","translated_title":"","metadata":{"abstract":"Seismic refraction methods are used in environmental and engineering studies to image the shallow subsurface. 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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="69434718"><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/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir"><img alt="Research paper thumbnail of Crosswell imaging in a shallow unconsolidated reservoir" 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/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir">Crosswell imaging in a shallow unconsolidated reservoir</a></div><div class="wp-workCard_item"><span>The Leading …</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It has long been recognized by the oil industry that its future will rely more and more on the re...</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">It has long been recognized by the oil industry that its future will rely more and more on the recovery of products from existing fields. The need for more efficient recovery drives the desire to know more about the reservoir structure and composition. Crosswell tomography is among the ...</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="69434718"><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="69434718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69434718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69434718]").text(description); $(".js-view-count[data-work-id=69434718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69434718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='69434718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 69434718, 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" } } $('.js-work-strip[data-work-id=69434718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":69434718,"title":"Crosswell imaging in a shallow unconsolidated reservoir","translated_title":"","metadata":{"abstract":"It has long been recognized by the oil industry that its future will rely more and more on the recovery of products from existing fields. 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Crosswell tomography is among the ...","internal_url":"https://www.academia.edu/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir","translated_internal_url":"","created_at":"2022-01-25T09:43:17.274-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41368236,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Crosswell_imaging_in_a_shallow_unconsolidated_reservoir","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41368236,"first_name":"Curtis","middle_initials":null,"last_name":"Link","page_name":"CLink","domain_name":"mtech","created_at":"2016-01-12T13:53:49.254-08:00","display_name":"Curtis Link","url":"https://mtech.academia.edu/CLink"},"attachments":[],"research_interests":[{"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="68615523"><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/68615523/Crosshole_tomography_in_the_Seventy_Six_West_field"><img alt="Research paper thumbnail of Crosshole tomography in the Seventy-Six West 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/68615523/Crosshole_tomography_in_the_Seventy_Six_West_field">Crosshole tomography in the Seventy-Six West field</a></div><div class="wp-workCard_item"><span>Geophysics</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The f...</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 Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. Average daily production for the field is about 200 b/d.</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="68615523"><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="68615523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68615523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68615523]").text(description); $(".js-view-count[data-work-id=68615523]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68615523; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68615523']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 68615523, 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" } } $('.js-work-strip[data-work-id=68615523]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68615523,"title":"Crosshole tomography in the Seventy-Six West field","translated_title":"","metadata":{"abstract":"The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. Average daily production for the field is about 200 b/d.","publication_date":{"day":null,"month":null,"year":1993,"errors":{}},"publication_name":"Geophysics"},"translated_abstract":"The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. 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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="62709446"><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/62709446/A_Seismic_Landstreamer_Survey_at_the_Hanford_Site_Washington_U_S_A"><img alt="Research paper thumbnail of A Seismic Landstreamer Survey at the Hanford Site, Washington, U.S.A" class="work-thumbnail" src="https://attachments.academia-assets.com/75384822/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/62709446/A_Seismic_Landstreamer_Survey_at_the_Hanford_Site_Washington_U_S_A">A Seismic Landstreamer Survey at the Hanford Site, Washington, U.S.A</a></div><div class="wp-workCard_item"><span>Environmental and Engineering Geoscience</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d202bd38553c6bc8241dba81ad5e3ce2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":75384822,"asset_id":62709446,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/75384822/download_file?st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&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="62709446"><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="62709446"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 62709446; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46586803"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/46586803/Crosshole_tomography_in_the_Seventy_Six_West_field"><img alt="Research paper thumbnail of Crosshole tomography in the Seventy‐Six West field" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/46586803/Crosshole_tomography_in_the_Seventy_Six_West_field">Crosshole tomography in the Seventy‐Six West field</a></div><div class="wp-workCard_item"><span>The Leading Edge</span><span>, 1993</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46586803"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46586803"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46586803; 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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="81558430"><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/81558430/The_Effect_of_Smoothing_First_Arrival_Times_and_the_Initial_Velocity_Model_on_Refraction_Tomography_Results"><img alt="Research paper thumbnail of The Effect of Smoothing First Arrival Times and the Initial Velocity Model on Refraction Tomography Results" 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/81558430/The_Effect_of_Smoothing_First_Arrival_Times_and_the_Initial_Velocity_Model_on_Refraction_Tomography_Results">The Effect of Smoothing First Arrival Times and the Initial Velocity Model on Refraction Tomography Results</a></div><div class="wp-workCard_item"><span>Symposium on the Application of Geophysics to Engineering and Environmental Problems 2011</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="81558430"><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="81558430"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81558430; 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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="69434731"><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/69434731/Interpretation_of_Shallow_Stratigraphic_Facies_Using_Artificial_Neural_Networks_and_Borehole_Geophysical_Data"><img alt="Research paper thumbnail of Interpretation of Shallow Stratigraphic Facies Using Artificial Neural Networks and Borehole Geophysical Data" 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/69434731/Interpretation_of_Shallow_Stratigraphic_Facies_Using_Artificial_Neural_Networks_and_Borehole_Geophysical_Data">Interpretation of Shallow Stratigraphic Facies Using Artificial Neural Networks and Borehole Geophysical Data</a></div><div class="wp-workCard_item"><span>Symposium on the Application of Geophysics to Engineering and Environmental Problems 1998</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A study has recently been conducted to assess the extent of hydrocarbon impacts to groundwater an...</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">A study has recently been conducted to assess the extent of hydrocarbon impacts to groundwater and soil resources at a petroleum refinery site in Billings, Montana. To accomplish the study, forty-six groundwater monitoring wells were installed at the site. Data collected from the wells included detailed lithologic descriptions from split-spoon samples, cutting returns from air rotary drilling, and suites of geophysical well logs. Because the quality of the lithologic descriptions from the borings was erratic, our approach was to produce lithofacies interpretations based on gamma ray logs input into a neural network classifier system. The type of neural network used was a self-organizing map. This type of network does not require user interpretations, instead, the network categorizes each input vector into a class based on similarity to other input vectors. The number of output classes is determined by the user. The output classifications were then plotted as ‘pseudo-logs’ and correlation performed using these pseudo-logs. Cross sections constructed using conventional well log interpretation and the neural network classifications show good, general agreement. A significant advantage of the neural network approach over a conventional interpretation approach is that all of the well log data are analyzed concurrently preventing inconsistencies that frequently occur with conventional methods. 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To accomplish the study, 46 groundwater-monitoring wells were installed at the site. Data collected from the wells included detailed lithologic descriptions from samples and cuttings, and suites of geophysical well logs. 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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="69434726"><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/69434726/Blind_Test_of_Methods_for_Obtaining_2_D_Near_Surface_Seismic_Velocity_Models_from_First_Arrival_Traveltimes"><img alt="Research paper thumbnail of Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes" class="work-thumbnail" src="https://attachments.academia-assets.com/79534716/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/69434726/Blind_Test_of_Methods_for_Obtaining_2_D_Near_Surface_Seismic_Velocity_Models_from_First_Arrival_Traveltimes">Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes</a></div><div class="wp-workCard_item"><span>Journal of Environmental & Engineering Geophysics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Seismic refraction methods are used in environmental and engineering studies to image the shallow...</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">Seismic refraction methods are used in environmental and engineering studies to image the shallow subsurface. We present a blind test of inversion and tomographic refraction analysis methods using a synthetic first-arrival-time dataset that was made available to the community in 2010. The data are realistic in terms of the near-surface velocity model, shot-receiver geometry and the data&#39;s frequency and added noise. Fourteen estimated models were determined by ten participants using eight different inversion algorithms, with the true model unknown to the participants until it was revealed at a session at the 2011 SAGEEP meeting. The estimated models are generally consistent in terms of their large-scale features, demonstrating the robustness of refraction data inversion in general, and the eight inversion algorithms in particular. When compared to the true model, all of the estimated models contain a smooth expression of its two main features: a large offset in the bedrock and th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ea0be51b4ab05a2cffc896e1e68bab63" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":79534716,"asset_id":69434726,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/79534716/download_file?st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&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="69434726"><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="69434726"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69434726; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69434726]").text(description); $(".js-view-count[data-work-id=69434726]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69434726; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='69434726']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 69434726, 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: "ea0be51b4ab05a2cffc896e1e68bab63" } } $('.js-work-strip[data-work-id=69434726]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":69434726,"title":"Blind Test of Methods for Obtaining 2-D Near-Surface Seismic Velocity Models from First-Arrival Traveltimes","translated_title":"","metadata":{"abstract":"Seismic refraction methods are used in environmental and engineering studies to image the shallow subsurface. 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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="69434718"><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/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir"><img alt="Research paper thumbnail of Crosswell imaging in a shallow unconsolidated reservoir" 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/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir">Crosswell imaging in a shallow unconsolidated reservoir</a></div><div class="wp-workCard_item"><span>The Leading …</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It has long been recognized by the oil industry that its future will rely more and more on the re...</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">It has long been recognized by the oil industry that its future will rely more and more on the recovery of products from existing fields. The need for more efficient recovery drives the desire to know more about the reservoir structure and composition. Crosswell tomography is among the ...</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="69434718"><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="69434718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69434718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69434718]").text(description); $(".js-view-count[data-work-id=69434718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69434718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='69434718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 69434718, 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" } } $('.js-work-strip[data-work-id=69434718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":69434718,"title":"Crosswell imaging in a shallow unconsolidated reservoir","translated_title":"","metadata":{"abstract":"It has long been recognized by the oil industry that its future will rely more and more on the recovery of products from existing fields. 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Crosswell tomography is among the ...","internal_url":"https://www.academia.edu/69434718/Crosswell_imaging_in_a_shallow_unconsolidated_reservoir","translated_internal_url":"","created_at":"2022-01-25T09:43:17.274-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41368236,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Crosswell_imaging_in_a_shallow_unconsolidated_reservoir","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41368236,"first_name":"Curtis","middle_initials":null,"last_name":"Link","page_name":"CLink","domain_name":"mtech","created_at":"2016-01-12T13:53:49.254-08:00","display_name":"Curtis Link","url":"https://mtech.academia.edu/CLink"},"attachments":[],"research_interests":[{"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="68615523"><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/68615523/Crosshole_tomography_in_the_Seventy_Six_West_field"><img alt="Research paper thumbnail of Crosshole tomography in the Seventy-Six West 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/68615523/Crosshole_tomography_in_the_Seventy_Six_West_field">Crosshole tomography in the Seventy-Six West field</a></div><div class="wp-workCard_item"><span>Geophysics</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The f...</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 Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. Average daily production for the field is about 200 b/d.</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="68615523"><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="68615523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68615523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68615523]").text(description); $(".js-view-count[data-work-id=68615523]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68615523; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68615523']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 68615523, 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" } } $('.js-work-strip[data-work-id=68615523]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68615523,"title":"Crosshole tomography in the Seventy-Six West field","translated_title":"","metadata":{"abstract":"The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. Average daily production for the field is about 200 b/d.","publication_date":{"day":null,"month":null,"year":1993,"errors":{}},"publication_name":"Geophysics"},"translated_abstract":"The Seventy‐Six West field is located in the northwest corner of Duval County, south Texas. The field covers sections 61, 62, 63, 64, 80, 81, and 86 and is located some four miles west‐northwest of Freer, Texas. Production is mainly from the Jackson‐Yegua sands at a depth of about 1350 ft. 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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="62709446"><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/62709446/A_Seismic_Landstreamer_Survey_at_the_Hanford_Site_Washington_U_S_A"><img alt="Research paper thumbnail of A Seismic Landstreamer Survey at the Hanford Site, Washington, U.S.A" class="work-thumbnail" src="https://attachments.academia-assets.com/75384822/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/62709446/A_Seismic_Landstreamer_Survey_at_the_Hanford_Site_Washington_U_S_A">A Seismic Landstreamer Survey at the Hanford Site, Washington, U.S.A</a></div><div class="wp-workCard_item"><span>Environmental and Engineering Geoscience</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d202bd38553c6bc8241dba81ad5e3ce2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":75384822,"asset_id":62709446,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/75384822/download_file?st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&st=MTczMjgxMjYwMyw4LjIyMi4yMDguMTQ2&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="62709446"><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="62709446"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 62709446; 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Identification of preferential pathways for groundwater contaminant flow near the top of the Columbia River Basalt Group is critical for the groundwater cleanup effort. Highresolution shallow seismic surveys were conducted using a 96 channel landstreamer with gimbaled geophones on the Hanford Central Plateau near the Gable Gap area of the Hanford Nuclear Site. A primary goal of the surveys was to demonstrate the feasibility of using a landstreamer to image the top of the basalt. We were able to collect an average of 606 m of profile line at 2 m station spacing per day, for a total of 12,722 m. The survey successfully imaged the top of the basalt and demonstrated that a landstreamer with gimbaled geophones can provide quality seismic data in this area. We found that the top of the basalt ranged in depth from 30 to 100 m deep, and it displays a rugose character caused by faults and erosion from turbulent flood waters of ice-age floods originating from Glacial Lake Missoula or from later ancestral Columbia River flooding. 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