Imaging and image-based fluid transport modeling at the pore scale in geological materials: A practical introduction to the current state-of-the-art

T Bultreys, W De Boever, V Cnudde - Earth-Science Reviews, 2016 - Elsevier
Fluid flow and mass transport in geological materials are crucial in diverse Earth science
applications. To fully understand the behavior of geological materials in this context, the …

Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications

M Sahimi, P Tahmasebi - Physics Reports, 2021 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

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 …

Computation of linear elastic properties from microtomographic images: Methodology and agreement between theory and experiment

CH Arns, MA Knackstedt, WV Pinczewski, EJ Garboczi - Geophysics, 2002 - library.seg.org
Elastic property-porosity relationships are derived directly from microtomographic images.
This is illustrated for a suite of four samples of Fontainebleau sandstone with porosities …

The physics of paper

M Alava, K Niskanen - Reports on progress in physics, 2006 - iopscience.iop.org
Paper is a material known to everybody. It has a network structure consisting of wood fibres
that can be mimicked by cooking a portion of spaghetti and pouring it on a plate, to form a …

Accurate estimation of transport properties from microtomographic images

CH Arns, MA Knackstedt, MV Pinczewski… - Geophysical …, 2001 - Wiley Online Library
Estimating and minimizing several sources of numerical error result in very accurate
predictions of transport properties directly from digitized images. Simulation of electrical …

Additivity, convexity, and beyond: applications of Minkowski functionals in statistical physics

KR Mecke - Statistical Physics and Spatial Statistics: The art of …, 2000 - Springer
The aim of this paper is to point out the importance of geometric functionals in statistical
physics. Integral geometry furnishes a suitable family of morphological descriptors, known …

Minkowski tensor shape analysis of cellular, granular and porous structures

GE Schröder‐Turk, W Mickel, SC Kapfer… - Advanced …, 2011 - Wiley Online Library
Predicting physical properties of materials with spatially complex structures is one of the
most challenging problems in material science. One key to a better understanding of such …

Three-dimensional analysis of high-resolution X-ray computed tomography data with Morpho+

L Brabant, J Vlassenbroeck, Y De Witte… - Microscopy and …, 2011 - cambridge.org
Three-dimensional (3D) analysis is an essential tool to obtain quantitative results from 3D
datasets. Considerable progress has been made in 3D imaging techniques, resulting in a …

Porous structure reconstruction using convolutional neural networks

Y Wang, CH Arns, SS Rahman, JY Arns - Mathematical geosciences, 2018 - Springer
The three-dimensional high-resolution imaging of rock samples is the basis for pore-scale
characterization of reservoirs. Micro X-ray computed tomography (µ-CT) is considered the …