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

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.

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Abstract

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.

Item Type:Article
Impact Factor:cited By 0; 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
Uncontrolled Keywords: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
ID Code:22201
Deposited By: Ahmad Suhairi
Deposited On:28 Feb 2019 05:13
Last Modified:28 Feb 2019 05:13

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