Optimization of Amplitude Versus Offset Attributes for Lithology and Hydrocarbon Indicators Using Recurrent Neural Network
This article demonstrates the implementation of recurrent neural network (RNN) model in optimizing amplitude versus offset (AVO) attributes for indicating lithology and hydrocarbon zone on seismic data. Several drawbacks exist in the conventional implementation of AVO attributes for hydrocarbon expl...
| Main Authors: | Refael, R., Hermana, M., Hossain, T.M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33387 / |
| Published: |
Springer
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133653489&doi=10.1007%2fs11053-022-10103-1&partnerID=40&md5=c7fea4f3ac6fff788b4956861de24ce3 http://eprints.utp.edu.my/33387/ |
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