Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia

One of the widely used methods for litho-facies classification in oil and gas fields is conducted through cross plotting elastic properties e.g. Acoustic Impedance vs. Vp/Vs ratio. First at well locations the cross plot is color coded by litho-facies classes. Afterwards, to predict litho-facies away...

Full description

Main Authors: Babasafari, A.A., Ghosh, D.P., Salim, A.M.A., Ratnam, T., Sambo, C., Rezaee, S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.22201 /
Published: 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059431247&doi=10.1190%2fsegam2018-2968514.1&partnerID=40&md5=04b153898e29cc435714c7c0d8a7c8ed
http://eprints.utp.edu.my/22201/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.22201
recordtype eprints
spelling utp-eprints.222012019-02-28T05:13:44Z Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia Babasafari, A.A. Ghosh, D.P. Salim, A.M.A. Ratnam, T. Sambo, C. Rezaee, S. One of the widely used methods for litho-facies classification in oil and gas fields is conducted through cross plotting elastic properties e.g. Acoustic Impedance vs. Vp/Vs ratio. First at well locations the cross plot is color coded by litho-facies classes. Afterwards, to predict litho-facies away from the wells, pre-stack seismic data inversion is performed. Cross plot of predicted elastic properties between the wells aid to discriminate each class. However, discrimination of defined litho-facies classes represents uncertainty particularly at overlapped zones between classes. This study reveals how Petro Elastic Modeling (PEM) generates a more suitable differentiation of litho-facies classification through elastic properties estimation. This process allows predicting the hydrocarbon zones more precisely and rational continuity of pay-zone layers is obtained due to high confidence value of each class in Bayesian probability classification. © 2018 SEG. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059431247&doi=10.1190%2fsegam2018-2968514.1&partnerID=40&md5=04b153898e29cc435714c7c0d8a7c8ed Babasafari, A.A. and Ghosh, D.P. and Salim, A.M.A. and Ratnam, T. and Sambo, C. and Rezaee, S. (2019) Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia. 2018 SEG International Exposition and Annual Meeting, SEG 2018 . pp. 3141-3145. http://eprints.utp.edu.my/22201/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description One of the widely used methods for litho-facies classification in oil and gas fields is conducted through cross plotting elastic properties e.g. Acoustic Impedance vs. Vp/Vs ratio. First at well locations the cross plot is color coded by litho-facies classes. Afterwards, to predict litho-facies away from the wells, pre-stack seismic data inversion is performed. Cross plot of predicted elastic properties between the wells aid to discriminate each class. However, discrimination of defined litho-facies classes represents uncertainty particularly at overlapped zones between classes. This study reveals how Petro Elastic Modeling (PEM) generates a more suitable differentiation of litho-facies classification through elastic properties estimation. This process allows predicting the hydrocarbon zones more precisely and rational continuity of pay-zone layers is obtained due to high confidence value of each class in Bayesian probability classification. © 2018 SEG.
format Article
author Babasafari, A.A.
Ghosh, D.P.
Salim, A.M.A.
Ratnam, T.
Sambo, C.
Rezaee, S.
spellingShingle Babasafari, A.A.
Ghosh, D.P.
Salim, A.M.A.
Ratnam, T.
Sambo, C.
Rezaee, S.
Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
author_sort Babasafari, A.A.
title Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
title_short Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
title_full Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
title_fullStr Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
title_full_unstemmed Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
title_sort petro elastic modeling for enhancement of hydrocarbon prediction: case study in se asia
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059431247&doi=10.1190%2fsegam2018-2968514.1&partnerID=40&md5=04b153898e29cc435714c7c0d8a7c8ed
http://eprints.utp.edu.my/22201/
_version_ 1741196584157184000
score 11.62408

Similar Items