Estimating relative diffusion from 3D micro-CT images using CNNs

1 code implementation • 4 Aug 2022 • Stephan Gärttner, Florian Frank, Fabian Woller, Andreas Meier, Nadja Ray

In the past several years, convolutional neural networks (CNNs) have proven their capability to predict characteristic quantities in porous media research directly from pore-space geometries.

Parameter Prediction

Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS

1 code implementation • 4 Sep 2021 • Stephan Gärttner, Faruk O. Alpak, Andreas Meier, Nadja Ray, Florian Frank

This paper presents a novel methodology for permeability prediction from micro-CT scans of geological rock samples.