A 3D CNN surrogate predicts equivalent hydraulic conductivity tensors for discrete fracture-matrix systems with normalized RMSE below 0.22 and achieves over 100x GPU speedup.
(Eds.), High Performance Computing in Science and Engineering, Springer International Publishing, Cham
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Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
A 3D CNN surrogate predicts equivalent hydraulic conductivity tensors for discrete fracture-matrix systems with normalized RMSE below 0.22 and achieves over 100x GPU speedup.