{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/51665"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/51665","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Reservoir characterization using seismic reflectivity and attributes","abstract":"The primary objective of this thesis is to obtain reservoir properties, such as porosity from surface seismic data complemented by available well logs. To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference.","abstract_html":"The primary objective of this thesis is to obtain reservoir properties, such as porosity from surface seismic data complemented by available well logs. To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference.","abstract_has_math":false,"creators":["Al-Moqbel, Abdulrahman Mohammad Saleh, 1974-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences.","school":null,"contributors":[],"advisors":["M. Nafi Toksöz."],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002","date_published":"2002","updated_at":"2026-07-22T22:22:30Z","subjects":["Earth, Atmospheric, and Planetary Sciences."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/51665","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["M. Nafi Toksöz."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Reservoir characterization using seismic reflectivity and attributes"]}]}],"canonical_facts":{"dc:contributor.advisor":["M. Nafi Toksöz."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences."],"dc:creator":["Al-Moqbel, Abdulrahman Mohammad Saleh, 1974-"],"dc:date.accessioned":["2010-02-09T16:58:39Z"],"dc:date.available":["2010-02-09T16:58:39Z"],"dc:date.issued":["2002"],"dc:description":["Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2002.","Includes bibliographical references (leaves 81-82)."],"dc:description.abstract":["The primary objective of this thesis is to obtain reservoir properties, such as porosity from surface seismic data complemented by available well logs. To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference."],"dc:description.degree":["S.M."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/51665"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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