Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network
This paper proposes a new workflow for reservoir properties prediction including water saturation, volume of shale/net to gross and porosity based on new attrinbutes as input for the Probalistic Neural Netrwotk (PNN) method. The data set used in this study is acquered from east Malaysia offshore...
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| Format: | Article |
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2016
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| Online Access: | https://www.onepetro.org/conference-paper/IPTC-18698-MS http://eprints.utp.edu.my/12199/ |
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