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
Nov 20, 2023 - Jupyter Notebook