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GlobalWellFM
Aljaser2030/GlobalWellFM
GlobalWellFM is a machine learning model from Aljaser2030. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
Author: Abdulrahman Al-Fakih · KFUPM / Geoscience AI Lab Test F1 (weighted): 0.9494 Training wells: Netherlands (NLOG) + Norway (synthetic) + USA (SEG-2016)
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Public
Updated Aug 7, 2026
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.csv8.7 MB · 58%
At a glance
- License
- cc-by-4.0
- Access
- Public
- Created
- Aug 7, 2026
- Updated
- Aug 7, 2026
- SHA
- f6a50641
Model card
From the Hugging Face model README
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
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.
- License
- cc-by-4.0
- Created
- Aug 7, 2026
- Updated
- Aug 7, 2026