%0 Conference Paper
%A Babasafari, A.A.
%A Ghosh, D.P.
%A Salim, A.M.A.
%A Ratnam, T.
%A Sambo, C.
%A Rezaee, S.
%D 2019
%F scholars:12255
%I Society of Exploration Geophysicists
%K Acoustic fields; Acoustic impedance; Elasticity; Forecasting; Gas industry; Geophysical prospecting; Hydrocarbons; Lithography; Seismology, Bayesian probabilities; Elastic modeling; Elastic properties; High confidence; Hydrocarbon predictions; Oil and gas fields; Pre-stack seismic data; Well location, Petroleum prospecting
%P 3141-3145
%R 10.1190/segam2018-2968514.1
%T Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
%U https://khub.utp.edu.my/scholars/12255/
%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.
%Z cited By 5; Conference of 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 ; Conference Date: 14 October 2018 Through 19 October 2018; Conference Code:143290