XGBoost Machine Learning Model for 3D FZI Prediction in Szolnok Formation

This dataset provides the trained XGBoost machine learning model (xgb_fzi.json) developed for predicting the three-dimensional distribution of the Flow Zone Indicator (FZI) in the Szolnok Formation, Hungary, using petrophysical well log data. The model was trained as part of a reproducible workflow for channel system identification and optimized site selection for Underground Thermal Energy Storage (UTES).