This project integrates conventional and image well logs for lithofacies classification using tree-based machine learning models, including Random Forest and Extremely Randomized Trees.

Lithofacies classification is the process of identifying the rock type present at a point in an oil well, based on its properties, known as well logs. This is an end-to-end machine learning project for lithofacies classification using Random Forest models.