{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/5557"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/5557","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"Processing Case Study with AVO and Pore Pressure Analyses: Eugene Island, Gulf of Mexico","abstract":"Seismic exploration uses numerous tools and techniques for detecting hydrocarbon reservoirs in conventional plays as found on the shelf of the northern Gulf of Mexico (GOM). The tools include seismic data-processing attributes, well-log calibration, and AVO (Amplitude Versus Offset) and pore pressure analyses. While the supporting theory for each method has been well established, an integration of the methods to a real exploration project can be confusing for the uninitiated. Given a seismic dataset and well-log curves, how exactly would someone process and analyze the data using the techniques listed? This research proposes a practical workflow for creating an end product for exploration applications. Using a seismic dataset in the GOM and several well log datasets, an integration of the processed seismic image with pore pressure analysis, petrophysical analysis and calibrated seismic attributes derived from the petrophysical analysis indicates the area would be classified as a Class III AVO environment which is supported by the geologic background. The dataset is further processed to completion and then used to generate AVO and pore pressure fields. Available well logs in the area are then compared and tied to the seismic, in order to validate the presence of any potential hydrocarbon attributes. An abnormal overpressure zone is determined by seismic velocity analysis and confirmed by the structural continuity of reflections, which was bound within a fault block. The seismic attributes indicated a potential gas reservoir on the downthrown side of the fault block, which would correlate with the proximity of the abnormal pressure. The exploration tools of seismic data analysis, well log analysis, AVO analysis, and pore pressure analysis are found to be strongly correlated by this study.","abstract_html":"Seismic exploration uses numerous tools and techniques for detecting hydrocarbon reservoirs in conventional plays as found on the shelf of the northern Gulf of Mexico (GOM). The tools include seismic data-processing attributes, well-log calibration, and AVO (Amplitude Versus Offset) and pore pressure analyses. While the supporting theory for each method has been well established, an integration of the methods to a real exploration project can be confusing for the uninitiated. Given a seismic dataset and well-log curves, how exactly would someone process and analyze the data using the techniques listed? This research proposes a practical workflow for creating an end product for exploration applications. Using a seismic dataset in the GOM and several well log datasets, an integration of the processed seismic image with pore pressure analysis, petrophysical analysis and calibrated seismic attributes derived from the petrophysical analysis indicates the area would be classified as a Class III AVO environment which is supported by the geologic background. The dataset is further processed to completion and then used to generate AVO and pore pressure fields. Available well logs in the area are then compared and tied to the seismic, in order to validate the presence of any potential hydrocarbon attributes. An abnormal overpressure zone is determined by seismic velocity analysis and confirmed by the structural continuity of reflections, which was bound within a fault block. The seismic attributes indicated a potential gas reservoir on the downthrown side of the fault block, which would correlate with the proximity of the abnormal pressure. The exploration tools of seismic data analysis, well log analysis, AVO analysis, and pore pressure analysis are found to be strongly correlated by this study.","abstract_has_math":false,"creators":["Kuo, Christine 1987-"],"institution":"University of Houston","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Geophysics","degree_department":null,"school":null,"contributors":[],"advisors":["Zhou, Hua-Wei"],"committee_chairs":[],"committee_members":["Hilterman, Fred J.","Sun, Jiajia","Verm, Richard"],"year":2019,"date_issued":"2019-12","date_published":"2019-12","updated_at":"2026-07-24T02:31:47Z","subjects":["AVO pore pressure data processing Eugene Island Block 27 well tie log"],"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":"https://hdl.handle.net/10657/5557","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Zhou, Hua-Wei"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Hilterman, Fred J.","Sun, Jiajia","Verm, Richard"]},{"key":"dc:creator","label":"Author","values":["Kuo, Christine 1987-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-12-17T03:37:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-12-17T03:37:13Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-12"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geophysics"]},{"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":["AVO pore pressure data processing Eugene Island Block 27 well tie log"]}]},{"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":["https://hdl.handle.net/10657/5557"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Seismic exploration uses numerous tools and techniques for detecting hydrocarbon reservoirs in conventional plays as found on the shelf of the northern Gulf of Mexico (GOM). The tools include seismic data-processing attributes, well-log calibration, and AVO (Amplitude Versus Offset) and pore pressure analyses. While the supporting theory for each method has been well established, an integration of the methods to a real exploration project can be confusing for the uninitiated. Given a seismic dataset and well-log curves, how exactly would someone process and analyze the data using the techniques listed? This research proposes a practical workflow for creating an end product for exploration applications. Using a seismic dataset in the GOM and several well log datasets, an integration of the processed seismic image with pore pressure analysis, petrophysical analysis and calibrated seismic attributes derived from the petrophysical analysis indicates the area would be classified as a Class III AVO environment which is supported by the geologic background. The dataset is further processed to completion and then used to generate AVO and pore pressure fields. Available well logs in the area are then compared and tied to the seismic, in order to validate the presence of any potential hydrocarbon attributes. An abnormal overpressure zone is determined by seismic velocity analysis and confirmed by the structural continuity of reflections, which was bound within a fault block. The seismic attributes indicated a potential gas reservoir on the downthrown side of the fault block, which would correlate with the proximity of the abnormal pressure. The exploration tools of seismic data analysis, well log analysis, AVO analysis, and pore pressure analysis are found to be strongly correlated by this study."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Processing Case Study with AVO and Pore Pressure Analyses: Eugene Island, Gulf of Mexico"]}]}],"canonical_facts":{"dc:contributor.advisor":["Zhou, Hua-Wei"],"dc:contributor.committeemember":["Hilterman, Fred J.","Sun, Jiajia","Verm, Richard"],"dc:creator":["Kuo, Christine 1987-"],"dc:date.accessioned":["2019-12-17T03:37:13Z"],"dc:date.available":["2019-12-17T03:37:13Z"],"dc:date.issued":["2019-12"],"dc:description.abstract":["Seismic exploration uses numerous tools and techniques for detecting hydrocarbon reservoirs in conventional plays as found on the shelf of the northern Gulf of Mexico (GOM). The tools include seismic data-processing attributes, well-log calibration, and AVO (Amplitude Versus Offset) and pore pressure analyses. While the supporting theory for each method has been well established, an integration of the methods to a real exploration project can be confusing for the uninitiated. Given a seismic dataset and well-log curves, how exactly would someone process and analyze the data using the techniques listed? This research proposes a practical workflow for creating an end product for exploration applications. Using a seismic dataset in the GOM and several well log datasets, an integration of the processed seismic image with pore pressure analysis, petrophysical analysis and calibrated seismic attributes derived from the petrophysical analysis indicates the area would be classified as a Class III AVO environment which is supported by the geologic background. The dataset is further processed to completion and then used to generate AVO and pore pressure fields. Available well logs in the area are then compared and tied to the seismic, in order to validate the presence of any potential hydrocarbon attributes. An abnormal overpressure zone is determined by seismic velocity analysis and confirmed by the structural continuity of reflections, which was bound within a fault block. The seismic attributes indicated a potential gas reservoir on the downthrown side of the fault block, which would correlate with the proximity of the abnormal pressure. The exploration tools of seismic data analysis, well log analysis, AVO analysis, and pore pressure analysis are found to be strongly correlated by this study."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/10657/5557"],"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":["AVO pore pressure data processing Eugene Island Block 27 well tie log"],"dc:title":["Processing Case Study with AVO and Pore Pressure Analyses: Eugene Island, Gulf of Mexico"],"thesis:degree_discipline":["Geophysics"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["University of Houston"]},"updated_at":"2026-07-24T02:31:47Z"}