relation: https://khub.utp.edu.my/scholars/10070/
title: Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
creator: Babasafari, A.A.
creator: Ghosh, D.P.
creator: Salim, A.M.A.
creator: Ratnam, T.
creator: Sambo, C.
creator: Rezaee, S.
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
publisher: Society of Exploration Geophysicists
date: 2018
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Babasafari, A.A. and Ghosh, D.P. and Salim, A.M.A. and Ratnam, T. and Sambo, C. and Rezaee, S.  (2018) Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121100069&doi=10.1190%2fsegam2018-2968514.1&partnerID=40&md5=d6fb6b21a73b532d0795a5b3b950392d
relation: 10.1190/segam2018-2968514.1
identifier: 10.1190/segam2018-2968514.1