Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin

Abstract Direct hydrocarbon indicator (DHI) expressions observed on seismic could arise due to various geological conditions. Such expression could lead to misinterpretation as hydrocarbon presence if not properly analyzed. This study employs rock physics attributes analysis to evaluate an identifie...

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Main Authors: Alexander Ogbamikhumi, Nosa Samuel Igbinigie
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:https://doi.org/10.1007/s13202-020-00975-5
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author Alexander Ogbamikhumi
Nosa Samuel Igbinigie
author_facet Alexander Ogbamikhumi
Nosa Samuel Igbinigie
author_sort Alexander Ogbamikhumi
collection DOAJ
description Abstract Direct hydrocarbon indicator (DHI) expressions observed on seismic could arise due to various geological conditions. Such expression could lead to misinterpretation as hydrocarbon presence if not properly analyzed. This study employs rock physics attributes analysis to evaluate an identified prospect in the undrilled area of the studied reservoir. Prospect identification was actualized by analyzing structural and amplitude maps of the reservoir, which revealed a possible roll over anticline at both the exploited and prospective zone, with a very good amplitude support that conforms to structure. Well-based cross-plot analysis adopted four cross-plot techniques for feasibility study to test the applicability of rock physics for prospect evaluation in the field; Lambda-Rho versus Lambda-Rho/Mu-Rho ratio; Mu-Rho versus Lambda-Rho; and Poisson Ratio versus P-impedance. The result presented Poisson ratio, Lambda-Rho and Lambda/Mu-Rho ratio as good fluid indicator and Mu-Rho as a viable lithology indicator. As such, they were selected for seismic-based attribute and cross-plot analysis to validate the identified prospect. The results from seismic-based analysis showed consistency in the expression of the analyzed attribute at both the exploited and prospective zone. The seismic-based cross-plot analysis result was similar to the well-based analysis and was able to confirm that the observed amplitude expression in the exploited zone is an indication of hydrocarbon-bearing sand.
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spelling doaj.art-0289b4e4f02e442da5cf2be39c50d0b52022-12-22T03:52:07ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662020-08-011083127313810.1007/s13202-020-00975-5Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta BasinAlexander Ogbamikhumi0Nosa Samuel Igbinigie1Department of Geology, University of BeninDepartment of Geology, University of BeninAbstract Direct hydrocarbon indicator (DHI) expressions observed on seismic could arise due to various geological conditions. Such expression could lead to misinterpretation as hydrocarbon presence if not properly analyzed. This study employs rock physics attributes analysis to evaluate an identified prospect in the undrilled area of the studied reservoir. Prospect identification was actualized by analyzing structural and amplitude maps of the reservoir, which revealed a possible roll over anticline at both the exploited and prospective zone, with a very good amplitude support that conforms to structure. Well-based cross-plot analysis adopted four cross-plot techniques for feasibility study to test the applicability of rock physics for prospect evaluation in the field; Lambda-Rho versus Lambda-Rho/Mu-Rho ratio; Mu-Rho versus Lambda-Rho; and Poisson Ratio versus P-impedance. The result presented Poisson ratio, Lambda-Rho and Lambda/Mu-Rho ratio as good fluid indicator and Mu-Rho as a viable lithology indicator. As such, they were selected for seismic-based attribute and cross-plot analysis to validate the identified prospect. The results from seismic-based analysis showed consistency in the expression of the analyzed attribute at both the exploited and prospective zone. The seismic-based cross-plot analysis result was similar to the well-based analysis and was able to confirm that the observed amplitude expression in the exploited zone is an indication of hydrocarbon-bearing sand.https://doi.org/10.1007/s13202-020-00975-5Rock attributeCross-plotSeismic inversionProspect validationRock physics
spellingShingle Alexander Ogbamikhumi
Nosa Samuel Igbinigie
Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
Journal of Petroleum Exploration and Production Technology
Rock attribute
Cross-plot
Seismic inversion
Prospect validation
Rock physics
title Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
title_full Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
title_fullStr Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
title_full_unstemmed Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
title_short Rock physics attribute analysis for hydrocarbon prospectivity in the Eva field onshore Niger Delta Basin
title_sort rock physics attribute analysis for hydrocarbon prospectivity in the eva field onshore niger delta basin
topic Rock attribute
Cross-plot
Seismic inversion
Prospect validation
Rock physics
url https://doi.org/10.1007/s13202-020-00975-5
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