@inproceedings{scholars10070,
         journal = {SEG Technical Program Expanded Abstracts},
       publisher = {Society of Exploration Geophysicists},
           title = {Petro Elastic Modeling for enhancement of hydrocarbon prediction: Case study in SE Asia},
           pages = {3141--3145},
            note = {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},
            year = {2018},
             doi = {10.1190/segam2018-2968514.1},
            issn = {10523812},
          author = {Babasafari, A. A. and Ghosh, D. P. and Salim, A. M. A. and Ratnam, T. and Sambo, C. and Rezaee, S.},
        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. {\^A}{\copyright} 2018 SEG},
        keywords = {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},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121100069&doi=10.1190\%2fsegam2018-2968514.1&partnerID=40&md5=d6fb6b21a73b532d0795a5b3b950392d}
}