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Imaging and image-based fluid transport modeling at the pore scale in geological materials: A practical introduction to the current state-of-the-art
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 …
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
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 …
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
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 …
Computation of linear elastic properties from microtomographic images: Methodology and agreement between theory and experiment
Elastic property-porosity relationships are derived directly from microtomographic images.
This is illustrated for a suite of four samples of Fontainebleau sandstone with porosities …
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 …
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
Estimating and minimizing several sources of numerical error result in very accurate
predictions of transport properties directly from digitized images. Simulation of electrical …
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 …
physics. Integral geometry furnishes a suitable family of morphological descriptors, known …
Minkowski tensor shape analysis of cellular, granular and porous structures
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 …
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+
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 …
datasets. Considerable progress has been made in 3D imaging techniques, resulting in a …
Porous structure reconstruction using convolutional neural networks
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 …
characterization of reservoirs. Micro X-ray computed tomography (µ-CT) is considered the …