To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.
machine-learning log-analysis classification wire-line-logs well-logs lithology catboost-model xboost subsurface-data log-interpretation lithology-prediction los-classification
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Updated
Feb 22, 2025 - Jupyter Notebook