TY  - CONF
KW  - Acoustic fields; Acoustic impedance; Forecasting; Gas industry; Geophysical prospecting; Hydrocarbons; Petroleum prospecting; Seismology
KW  -  Case-studies; Data inversion; Elastic models; Elastic properties; Hydrocarbon predictions; Oil and gas fields; Pre-stack seismic data; SE Asia; Uncertainty; Well location
KW  -  Elasticity
PB  - Society of Exploration Geophysicists
SP  - 3141
A1  - Babasafari, A.A.
A1  - Ghosh, D.P.
A1  - Salim, A.M.A.
A1  - Ratnam, T.
A1  - Sambo, C.
A1  - Rezaee, S.
SN  - 10523812
N1  - 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
AV  - none
TI  - Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia
Y1  - 2018///
N2  - 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
ID  - scholars10070
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121100069&doi=10.1190%2fsegam2018-2968514.1&partnerID=40&md5=d6fb6b21a73b532d0795a5b3b950392d
EP  - 3145
ER  -