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Reconstruction of three-dimensional porous media using generative adversarial neural networks
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 …
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
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 …
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 …
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
Effective conductivity and permeability of a versatile, graph-based model of random
structures are investigated numerically. This model, originally introduced in Gaiselmann et …
structures are investigated numerically. This model, originally introduced in Gaiselmann et …
Predicting permeability via statistical learning on higher-order microstructural information
Quantitative structure–property relationships are crucial for the understanding and prediction
of the physical properties of complex materials. For fluid flow in porous materials …
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 …
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
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 …
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
In this paper, we report on experimental and computational studies investigating the
evolution of pore structure and permeability of a microporous carbonate rock during …
evolution of pore structure and permeability of a microporous carbonate rock during …
Predicting resistivity and permeability of porous media using Minkowski functionals
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 …
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
Characterizing residual non‐aqueous phase liquids (NAPLs) in porous media is essential
for designing contaminated site remediation strategies. The direct current resistivity method …
for designing contaminated site remediation strategies. The direct current resistivity method …