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Supervised machine learning application of lithofacies classification for a hydrodynamically complex gas-condensate reservoir in Nam Con Son basin

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In this paper, multiple classification algorithms including support vector machine (SVM), random forest (RF), decision tree (DT), K-nearest neighbours (KNN), logistic regression, Gaussian, Bernoulli, multinomial Naïve Bayes, and linear discriminant analysis were executed on the seismic attributes for lithofacies prediction. |

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