- Article
A Data-Driven ML Model for Sand Channel Prediction from Well Logs for UTES Site Optimization and Thermal Breakthrough Prevention: Hungary Case Study
- Hawkar Ali Abdulhaq,
- János Geiger,
- István Vass,
- Tivadar M. Tóth,
- Gábor Bozsó and
- János Szanyi
This study presents a data-driven approach to predict the three-dimensional distribution of sand-rich channels in hydrocarbon reservoirs using well log data, aiming to optimize site selection for Underground Thermal Energy Storage (UTES) and manage h...