Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation

Title
Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation
Authors
Keywords
Water saturation, principal component analysis, least square support vector machine, ANFIS-subtractive clustering method
Journal
COMPUTERS & GEOSCIENCES
Volume -, Issue -, Pages 104555
Publisher
Elsevier BV
Online
2020-07-29
DOI
10.1016/j.cageo.2020.104555

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