1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
Martin Å petlÃk, Jan BÅezina
Modeling groundwater flow in three-dimensional fractured crystalline media requires accounting for strong spatial heterogeneity induced by fractures. Fine-scale discrete fracture-m…
math.AP2024
Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models
Martin Å petlÃk, Jan BÅezina, Eric Laloy
Simulating 2D flow in fractured crystalline rock requires 2D stochastic discrete-fracture matrix (DFM) models. To obtain the simulation statistics of interest at an affordable comp…