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

• Main Authors: Babikir, I., Elsaadany, M., Sajid, M., Laudon, C.
• Format: Article
• Published: Elsevier B.V. 2022
• 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/
• Institution: Universiti Teknologi Petronas

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...