{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/1464"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/1464","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"Remote Sensing of Hydrocarbon-induced Rock Alterations at Cement Field, Oklahoma","abstract":"This study uses satellite- and ground-based remote sensing techniques to detect hydrocarbon-induced rock alterations at the Cement oil field, Oklahoma. Hydrocarbon seepage is the escape of oil and gas from petroleum reservoirs and their upward-migration to the surface. These hydrocarbons at the surface can generate rock alterations, including mineralogical changes, bleaching of red beds, and clay mineral alterations. Surficial expressions of such alterations are distinct from adjacent rocks, and could be detected by remote sensing techniques. The Cement field is a giant oil and gas field located in the southeastern Anadarko basin in Oklahoma. The surface structure is a northwest-trending, elongate and asymmetrical anticline. This field has been reported to have heavily altered surficial rocks. Loss of iron and impregnation of sandstone by carbonate cements, and replacement of gypsum by calcite, are the major alteration phenomena in this field. Remote sensing data hold great potential to characterize rocks with great precision and fine detail. This study identified outcrops with surficial rock alterations from Landsat 8 and ASTER multispectral data, as well as Hyperion and Specim hyperspectral imagery. Published geologic maps and geochemical data were combined to show the geologic extent and various degrees of rock alterations. Petrographic analysis showed bleaching and cementation of sandstones, as well as crystallization gradient of gypsum samples. Laboratory spectroscopy was used to assist with image classification. Principal component analysis, minimum noise fraction, spectral angle mapper, and band ratios are used in image processing. Remote sensing data detected bleaching and carbonate cementation. Combining lithological, remote sensing and geochemical data, this study built a model for petroleum seepage and related rock alterations, and provides a workflow for employing remote sensing techniques in resource exploration.","abstract_html":"This study uses satellite- and ground-based remote sensing techniques to detect hydrocarbon-induced rock alterations at the Cement oil field, Oklahoma. Hydrocarbon seepage is the escape of oil and gas from petroleum reservoirs and their upward-migration to the surface. These hydrocarbons at the surface can generate rock alterations, including mineralogical changes, bleaching of red beds, and clay mineral alterations. Surficial expressions of such alterations are distinct from adjacent rocks, and could be detected by remote sensing techniques. The Cement field is a giant oil and gas field located in the southeastern Anadarko basin in Oklahoma. The surface structure is a northwest-trending, elongate and asymmetrical anticline. This field has been reported to have heavily altered surficial rocks. Loss of iron and impregnation of sandstone by carbonate cements, and replacement of gypsum by calcite, are the major alteration phenomena in this field. Remote sensing data hold great potential to characterize rocks with great precision and fine detail. This study identified outcrops with surficial rock alterations from Landsat 8 and ASTER multispectral data, as well as Hyperion and Specim hyperspectral imagery. Published geologic maps and geochemical data were combined to show the geologic extent and various degrees of rock alterations. Petrographic analysis showed bleaching and cementation of sandstones, as well as crystallization gradient of gypsum samples. Laboratory spectroscopy was used to assist with image classification. Principal component analysis, minimum noise fraction, spectral angle mapper, and band ratios are used in image processing. Remote sensing data detected bleaching and carbonate cementation. Combining lithological, remote sensing and geochemical data, this study built a model for petroleum seepage and related rock alterations, and provides a workflow for employing remote sensing techniques in resource exploration.","abstract_has_math":false,"creators":["Sun, Lei 1989-"],"institution":"University of Houston","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Geology","degree_department":null,"school":null,"contributors":[],"advisors":["Khan, Shuhab D."],"committee_chairs":[],"committee_members":["Snow, Jonathan E.","Petrovic, Ana"],"year":2014,"date_issued":"2014-08","date_published":"2014-08","updated_at":"2026-07-24T02:33:06Z","subjects":["Remote sensing","Alteration","Hydrocarbons"],"languages":["eng"],"rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10657/1464","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Khan, Shuhab D."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Snow, Jonathan E.","Petrovic, Ana"]},{"key":"dc:creator","label":"Author","values":["Sun, Lei 1989-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-08-28T18:44:46Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-08-28T18:44:46Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-08"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Houston"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Remote sensing","Alteration","Hydrocarbons"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10657/1464"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study uses satellite- and ground-based remote sensing techniques to detect hydrocarbon-induced rock alterations at the Cement oil field, Oklahoma. Hydrocarbon seepage is the escape of oil and gas from petroleum reservoirs and their upward-migration to the surface. These hydrocarbons at the surface can generate rock alterations, including mineralogical changes, bleaching of red beds, and clay mineral alterations. Surficial expressions of such alterations are distinct from adjacent rocks, and could be detected by remote sensing techniques. The Cement field is a giant oil and gas field located in the southeastern Anadarko basin in Oklahoma. The surface structure is a northwest-trending, elongate and asymmetrical anticline. This field has been reported to have heavily altered surficial rocks. Loss of iron and impregnation of sandstone by carbonate cements, and replacement of gypsum by calcite, are the major alteration phenomena in this field. Remote sensing data hold great potential to characterize rocks with great precision and fine detail. This study identified outcrops with surficial rock alterations from Landsat 8 and ASTER multispectral data, as well as Hyperion and Specim hyperspectral imagery. Published geologic maps and geochemical data were combined to show the geologic extent and various degrees of rock alterations. Petrographic analysis showed bleaching and cementation of sandstones, as well as crystallization gradient of gypsum samples. Laboratory spectroscopy was used to assist with image classification. Principal component analysis, minimum noise fraction, spectral angle mapper, and band ratios are used in image processing. Remote sensing data detected bleaching and carbonate cementation. Combining lithological, remote sensing and geochemical data, this study built a model for petroleum seepage and related rock alterations, and provides a workflow for employing remote sensing techniques in resource exploration."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Remote Sensing of Hydrocarbon-induced Rock Alterations at Cement Field, Oklahoma"]}]}],"canonical_facts":{"dc:contributor.advisor":["Khan, Shuhab D."],"dc:contributor.committeemember":["Snow, Jonathan E.","Petrovic, Ana"],"dc:creator":["Sun, Lei 1989-"],"dc:date.accessioned":["2016-08-28T18:44:46Z"],"dc:date.available":["2016-08-28T18:44:46Z"],"dc:date.issued":["2014-08"],"dc:description.abstract":["This study uses satellite- and ground-based remote sensing techniques to detect hydrocarbon-induced rock alterations at the Cement oil field, Oklahoma. Hydrocarbon seepage is the escape of oil and gas from petroleum reservoirs and their upward-migration to the surface. These hydrocarbons at the surface can generate rock alterations, including mineralogical changes, bleaching of red beds, and clay mineral alterations. Surficial expressions of such alterations are distinct from adjacent rocks, and could be detected by remote sensing techniques. The Cement field is a giant oil and gas field located in the southeastern Anadarko basin in Oklahoma. The surface structure is a northwest-trending, elongate and asymmetrical anticline. This field has been reported to have heavily altered surficial rocks. Loss of iron and impregnation of sandstone by carbonate cements, and replacement of gypsum by calcite, are the major alteration phenomena in this field. Remote sensing data hold great potential to characterize rocks with great precision and fine detail. This study identified outcrops with surficial rock alterations from Landsat 8 and ASTER multispectral data, as well as Hyperion and Specim hyperspectral imagery. Published geologic maps and geochemical data were combined to show the geologic extent and various degrees of rock alterations. Petrographic analysis showed bleaching and cementation of sandstones, as well as crystallization gradient of gypsum samples. Laboratory spectroscopy was used to assist with image classification. Principal component analysis, minimum noise fraction, spectral angle mapper, and band ratios are used in image processing. Remote sensing data detected bleaching and carbonate cementation. Combining lithological, remote sensing and geochemical data, this study built a model for petroleum seepage and related rock alterations, and provides a workflow for employing remote sensing techniques in resource exploration."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/10657/1464"],"dc:language.iso":["eng"],"dc:rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."],"dc:subject":["Remote sensing","Alteration","Hydrocarbons"],"dc:title":["Remote Sensing of Hydrocarbon-induced Rock Alterations at Cement Field, Oklahoma"],"thesis:degree_discipline":["Geology"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["University of Houston"]},"updated_at":"2026-07-24T02:33:06Z"}