A Fast Random-Feature Surrogate for Geothermal Heat-Transport Prediction and Breakthrough Risk Screening
Repeated geothermal evaluation motivates inexpensive flow and heat-transport approximations. We combine proper orthogonal decomposition (POD) with extreme learning machine (ELM) regression to reconstruct temperature fields and predict production curves and horizon-capped breakthrough times from simulation data. A manuf...