%P 3141-3145
%T Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
%I Society of Exploration Geophysicists
%A A.A. Babasafari
%A D.P. Ghosh
%A A.M.A. Salim
%A T. Ratnam
%A C. Sambo
%A S. Rezaee
%O cited By 4; Conference of Society of Exploration Geophysicists International Exposition and 88th Annual Meeting, SEG 2018 ; Conference Date: 14 October 2018 Through 19 October 2018; Conference Code:175271
%J SEG Technical Program Expanded Abstracts
%L scholars10070
%D 2018
%R 10.1190/segam2018-2968514.1
%X 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
%K Acoustic fields; Acoustic impedance; Forecasting; Gas industry; Geophysical prospecting; Hydrocarbons; Petroleum prospecting; Seismology, Case-studies; Data inversion; Elastic models; Elastic properties; Hydrocarbon predictions; Oil and gas fields; Pre-stack seismic data; SE Asia; Uncertainty; Well location, Elasticity