| license: cc-by-4.0 | |
| tags: | |
| - geoscience | |
| - petrophysics | |
| - well-logs | |
| - lithofacies | |
| - xgboost | |
| - foundation-model | |
| metrics: | |
| - f1 | |
| # GlobalWellFM — Global Well Log Foundation Model | |
| **Author:** Abdulrahman Al-Fakih · KFUPM / Geoscience AI Lab | |
| **Test F1 (weighted):** 0.9494 | |
| **Training wells:** Netherlands (NLOG) + Norway (synthetic) + USA (SEG-2016) | |
| First open-source, multi-basin, physics-constrained lithofacies foundation model trained on well logs from 3 countries. | |
| ## Usage | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| import joblib | |
| model = joblib.load(hf_hub_download("Aljaser2030/GlobalWellFM", "model/xgb_model.joblib")) | |
| imputer = joblib.load(hf_hub_download("Aljaser2030/GlobalWellFM", "model/imputer.joblib")) | |
| le = joblib.load(hf_hub_download("Aljaser2030/GlobalWellFM", "model/label_encoder.joblib")) | |
| ``` | |
| ## Citation | |
| Al-Fakih, A. (2026). GlobalWellFM: Physics-Constrained Foundation Model for | |
| Global Well Log Lithofacies Classification. Computers & Geosciences. | |