Deep Learning Surrogate for Predicting Equivalent Hydraulic Conductivity Tensors from Discrete Fracture-Matrix Models
A deep learning surrogate model can efficiently predict equivalent hydraulic conductivity tensors from discrete fracture-matrix models, enabling accelerated multiscale simulations of groundwater flow in fractured rock.