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lithofacies-classification

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imtej / Lithofacies-Classification-using-ML-Techniques

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Lithofacies classification using well log data from the Hugoton and Panoma Fields dataset. This project implements various machine learning algorithms including Support Vector Machines, Random Forest, Neural Networks, and others to predict facies groups. The study focuses on improving facies classification accuracy using well log data from 9 well.

machine-learning neural-network random-forest svm scikit-learn supervised-learning reservoir-characterization facies facies-classification lithofacies-classification well-data subsurface-modeling
  • Updated Sep 23, 2024
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