Fei Liu

Machine Learning-Driven Multi-Scale Modeling and Digital Twin Evolution for Geothermal Reservoirs and Underground Thermal Storage

Geothermal energy and underground thermal storage (UTES) are vital to the low-carbon energy transition, yet their optimization is bottlenecked by multi-scale heterogeneity, coupled thermal–hydraulic–mechanical–chemical (THMC) processes, and the high computational cost of full-physics simulations. This review systematic...