Well-Grouped Validation and Explainable XGBoost Lithology Classification under Missing Well-Log Conditions
To address challenges in actual logging interpretation—such as imbalanced lithology types, incomplete logging curves, and the difficulty of reliably evaluating cross-well generalization—this study performs intelligent lithology identification using the publicly available FORCE 2020 logging dataset. After preprocessing,...