Evaluation of principal component analysis for reducing seismic attributes dimensions: Implication for supervised seismic facies classification of a fluvial reservoir from the Malay Basin, offshore Malaysia
Because of their effectiveness in identifying geologic features, seismic attributes are usually used as input to machine learning (ML) models for facies classification. Typically, too many attributes are computed for facies classification, making a predictive modeling task more challenging. Principa...
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Main Authors: | , , , |
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Format: | Article |
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Elsevier B.V.
2022
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135807526&doi=10.1016%2fj.petrol.2022.110911&partnerID=40&md5=399cd2e5cc40638009dd695bf8c57314 http://eprints.utp.edu.my/33492/ |
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Institution: | Universiti Teknologi Petronas |