Reconstruction of three-dimensional porous media using generative adversarial neural networks

L Mosser, O Dubrule, MJ Blunt - Physical Review E, 2017 - APS
To evaluate the variability of multiphase flow properties of porous media at the pore scale, it
is necessary to acquire a number of representative samples of the void-solid structure. While …

Porous media characterization using Minkowski functionals: Theories, applications and future directions

RT Armstrong, JE McClure, V Robins, Z Liu… - Transport in Porous …, 2019 - Springer
An elementary question in porous media research is in regard to the relationship between
structure and function. In most fields, the porosity and permeability of porous media are …

Minkowski functional evaluation of representative elementary volume of rock microtomography images at multiple resolutions

S Sadeghnejad, M Reinhardt, F Enzmann… - Advances in Water …, 2023 - Elsevier
Pore-scale properties can be obtained by building a reliable digital twin of porous media
through the digital rock physics (DRP) workflow. The two prerequisites of DRP are reliable …

[HTML][HTML] Quantifying the influence of microstructure on effective conductivity and permeability: Virtual materials testing

M Neumann, O Stenzel, F Willot, L Holzer… - International journal of …, 2020 - Elsevier
Effective conductivity and permeability of a versatile, graph-based model of random
structures are investigated numerically. This model, originally introduced in Gaiselmann et …

Predicting permeability via statistical learning on higher-order microstructural information

M Röding, Z Ma, S Torquato - Scientific reports, 2020 - nature.com
Quantitative structure–property relationships are crucial for the understanding and prediction
of the physical properties of complex materials. For fluid flow in porous materials …

Stochastic reconstruction of 3D porous media from 2D images using generative adversarial networks

A Valsecchi, S Damas, C Tubilleja, J Arechalde - Neurocomputing, 2020 - Elsevier
Micro computed tomography (CT) provides petrophysics laboratories with the ability to
image three dimensional porous media at pore scale. However, evaluating flow properties …

Generative adversarial networks for reconstruction of three-dimensional porous media from two-dimensional slices

D Volkhonskiy, E Muravleva, O Sudakov, D Orlov… - Physical Review E, 2022 - APS
In many branches of earth sciences, the problem of rock study on the microlevel arises.
However, a significant number of representative samples is not always feasible. Thus the …

A comparative study of micro-CT and mercury intrusion techniques for predicting permeability and surface area evolution during chemical dissolution

J Qajar, CH Arns - Advances in Water Resources, 2022 - Elsevier
In this paper, we report on experimental and computational studies investigating the
evolution of pore structure and permeability of a microporous carbonate rock during …

Predicting resistivity and permeability of porous media using Minkowski functionals

PA Slotte, CF Berg, HH Khanamiri - Transport in Porous Media, 2020 - Springer
Permeability and formation factor are important properties of a porous medium that only
depend on pore space geometry, and it has been proposed that these transport properties …

Residual NAPL morphology effects on electrical resistivity: insights from micromodel displacement experiments and pore network simulations

S Qiang, X Shi, A Revil, X Kang… - Water Resources …, 2022 - Wiley Online Library
Characterizing residual non‐aqueous phase liquids (NAPLs) in porous media is essential
for designing contaminated site remediation strategies. The direct current resistivity method …