Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning

6 July 2020

Papers citing "Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning"

8 / 8 papers shown

Title
A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media Marcos Cirne Hannah Menke A. Abdellatif Julien Maes Florian Doster A. Elsheikh AI4CE 79 0 0 11 Mar 2025
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 87 0 0 25 Aug 2023
Deep learning for diffusion in porous media K. Graczyk Dawid Strzelczyk M. Matyka DiffM AI4CE 46 10 0 04 Apr 2023
Estimating relative diffusion from 3D micro-CT images using CNNs Stephan Gärttner F. Frank Fabian Woller Andreas Meier N. Ray MedIm DiffM 20 5 0 04 Aug 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects K. Graczyk J. Pawlowski Sylwia Majchrowska Tomasz Golan 52 9 0 15 Mar 2022
Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization B. Eidel 3DV 35 2 0 04 Sep 2021
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS Stephan Gärttner F. Alpak Andreas Meier N. Ray F. Frank 37 17 0 04 Sep 2021
Point-Cloud Deep Learning of Porous Media for Permeability Prediction Ali Kashefi T. Mukerji 3DPC AI4CE 63 35 0 18 Jul 2021