Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain

The application of lithology and fluid indicators has helped the geophysicists to discriminate reservoirs to non-reservoirs from a field. This analysis is conducted to select the most suitable lithology and fluid indicator for the Malaysian basins that could lead to better eliminate pitfalls of ampl...

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Main Authors: Shamsuddin, S.Z., Hermana, M., Ghosh, D.P., Salim, A.M.A.
Format: Article
Published: Institute of Physics Publishing 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033225605&doi=10.1088%2f1755-1315%2f88%2f1%2f012004&partnerID=40&md5=b9d9acff6e301c3ec3b5ff34dfb9ce00
http://eprints.utp.edu.my/19924/
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spelling my.utp.eprints.199242018-04-22T13:18:17Z Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain Shamsuddin, S.Z. Hermana, M. Ghosh, D.P. Salim, A.M.A. The application of lithology and fluid indicators has helped the geophysicists to discriminate reservoirs to non-reservoirs from a field. This analysis is conducted to select the most suitable lithology and fluid indicator for the Malaysian basins that could lead to better eliminate pitfalls of amplitude. This paper uses different rock physics analysis such as elastic impedance, Lambda-Mu-Rho, and SQp-SQs attribute. Litho-elastic impedance log is generated by correlating the gamma ray log with extended elastic impedance log. The same application is used for fluid-elastic impedance by correlation of EEI log with water saturation or resistivity. The work is done on several well logging data collected from different fields in Malay basin and its neighbouring basin. There's an excellent separation between hydrocarbon sand and background shale for Well-1 from different cross-plot analysis. Meanwhile, the Well-2 shows good separation in LMR plot. The similar method is done on the Well-3 shows fair separation of silty sand and gas sand using SQp-SQs attribute which can be correlated with well log. Based on the point distribution histogram plot, different lithology and fluid can be separated clearly. Simultaneous seismic inversion results in acoustic impedance, Vp/Vs, SQp, and SQs volumes. There are many attributes available in the industry used to separate the lithology and fluid, however some of the methods are not suitable for the application to the basins in Malaysia. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033225605&doi=10.1088%2f1755-1315%2f88%2f1%2f012004&partnerID=40&md5=b9d9acff6e301c3ec3b5ff34dfb9ce00 Shamsuddin, S.Z. and Hermana, M. and Ghosh, D.P. and Salim, A.M.A. (2017) Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain. IOP Conference Series: Earth and Environmental Science, 88 (1). http://eprints.utp.edu.my/19924/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The application of lithology and fluid indicators has helped the geophysicists to discriminate reservoirs to non-reservoirs from a field. This analysis is conducted to select the most suitable lithology and fluid indicator for the Malaysian basins that could lead to better eliminate pitfalls of amplitude. This paper uses different rock physics analysis such as elastic impedance, Lambda-Mu-Rho, and SQp-SQs attribute. Litho-elastic impedance log is generated by correlating the gamma ray log with extended elastic impedance log. The same application is used for fluid-elastic impedance by correlation of EEI log with water saturation or resistivity. The work is done on several well logging data collected from different fields in Malay basin and its neighbouring basin. There's an excellent separation between hydrocarbon sand and background shale for Well-1 from different cross-plot analysis. Meanwhile, the Well-2 shows good separation in LMR plot. The similar method is done on the Well-3 shows fair separation of silty sand and gas sand using SQp-SQs attribute which can be correlated with well log. Based on the point distribution histogram plot, different lithology and fluid can be separated clearly. Simultaneous seismic inversion results in acoustic impedance, Vp/Vs, SQp, and SQs volumes. There are many attributes available in the industry used to separate the lithology and fluid, however some of the methods are not suitable for the application to the basins in Malaysia. © Published under licence by IOP Publishing Ltd.
format Article
author Shamsuddin, S.Z.
Hermana, M.
Ghosh, D.P.
Salim, A.M.A.
spellingShingle Shamsuddin, S.Z.
Hermana, M.
Ghosh, D.P.
Salim, A.M.A.
Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
author_facet Shamsuddin, S.Z.
Hermana, M.
Ghosh, D.P.
Salim, A.M.A.
author_sort Shamsuddin, S.Z.
title Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
title_short Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
title_full Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
title_fullStr Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
title_full_unstemmed Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
title_sort reducing uncertainties in hydrocarbon prediction through application of elastic domain
publisher Institute of Physics Publishing
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033225605&doi=10.1088%2f1755-1315%2f88%2f1%2f012004&partnerID=40&md5=b9d9acff6e301c3ec3b5ff34dfb9ce00
http://eprints.utp.edu.my/19924/
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score 13.160551