Pore space morphology analysis using maximal inscribed spheres

Silin, Dmitriy; Patzek, Tadeusz W

doi:10.1016/j.physa.2006.04.048

Cited by 411 publications

(207 citation statements)

References 36 publications

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“…Pore network extraction algorithms have been applied to Berea since the earliest attempts by Silin and Patzek [24], Dong and Blunt [25], and others [29,30]. For this validation, the network extracted by the SNOW algorithm was compared to that of Dong and Blunt [25] since they provide their extracted network as well as the tomography image for other users to compare [54].…”

Section: B Berea Sandstonementioning

confidence: 99%

“…As made abundantly clear by Bhattad et al [23] in their excellent review article comparing network extraction techniques, the main challenge is the unclear definition of a pore and throat, and identifying where one pore ends and another begins, especially in three dimensions (3D). The currently favored method for extracting pore networks from images is based on the maximal ball algorithm proposed by Silin and Patzek [24], and refined by Blunt and co-workers [25,26]. Another widely used approach is based on finding the branch points of the medial axis of the pore space [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

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Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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Obtaining structural information from tomographic images of porous materials is a critical component of porous media research. Extracting pore networks is particularly valuable since it enables pore network modeling simulations which can be useful for a host of tasks from predicting transport properties to simulating performance of entire devices. This work reports an efficient algorithm for extracting networks using only standard image analysis techniques. The algorithm was applied to several standard porous materials ranging from sandstone to fibrous mats, and in all cases agreed very well with established or known values for pore and throat sizes, capillary pressure curves, and permeability. In the case of sandstone, the present algorithm was compared to the network obtained using the current state-of-the-art algorithm, and very good agreement was achieved. Most importantly, the network extracted from an image of fibrous media correctly predicted the anisotropic permeability tensor, demonstrating the critical ability to detect key structural features. The highly efficient algorithm allows extraction on fairly large images of 500 3 voxels in just over 200 s. The ability for one algorithm to match materials as varied as sandstone with 20% porosity and fibrous media with 75% porosity is a significant advancement. The source code for this algorithm is provided.

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Section: B Berea Sandstonementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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“…In three-dimensional space, the medial axis is a two-dimensional stratified space. Typically, models of a material channel network are used to describe aggregate flow characteristics, and thus, it becomes necessary to thin the medial axis into a graph structure [16,15,19] describing the connectivity of pore space. In contrast, the immediate output of our algorithm is a graph requiring no such post-processing.…”

Section: Geometric Pore Space Characterizationmentioning

confidence: 99%

“…However, instead of focusing on a locality-based visualization of interactions between the geometry of solid structures and the flow trajectory, our method aims to extract the pore network for estimating the fluid flow using topological descriptors. Silin and Patzek [19] study the connectivity of pockets-or pore bodies-within the material, which they define, in different terms, as the maxima of the distance function to the material; we use a similar definition in Sect. 5.…”

Section: Geometric Pore Space Characterizationmentioning

confidence: 99%

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Augmented Topological Descriptors of Pore Networks for Material Science

Ushizima

Morozov

Weber

et al. 2012

IEEE Trans. Visual. Comput. Graphics

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Abstract-One potential solution to reduce the concentration of carbon dioxide in the atmosphere is the geologic storage of captured CO 2 in underground rock formations, also known as carbon sequestration. There is ongoing research to guarantee that this process is both efficient and safe. We describe tools that provide measurements of media porosity, and permeability estimates, including visualization of pore structures. Existing standard algorithms make limited use of geometric information in calculating permeability of complex microstructures. This quantity is important for the analysis of biomineralization, a subsurface process that can affect physical properties of porous media. This paper introduces geometric and topological descriptors that enhance the estimation of material permeability. Our analysis framework includes the processing of experimental data, segmentation, and feature extraction and making novel use of multiscale topological analysis to quantify maximum flow through porous networks. We illustrate our results using synchrotron-based X-ray computed microtomography of glass beads during biomineralization. We also benchmark the proposed algorithms using simulated data sets modeling jammed packed bead beds of a monodispersive material.

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A re‐examination of throats

Kim

Lindquist

2013

Water Resources Research

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[1] We critically re-examine the concept of a throat in a porous medium as a geometric quantity defined independently of an entry meniscus in a drainage process. To maintain the standard notion of a throat as a locally minimum-area cross section in the pore network, we demonstrate with examples that throats must intersect each other. Using flow simulation, we show that these intersecting throats correspond to capillary pressure controlled entry points during drainage. We have designed a throat-finding algorithm that explicitly locates intersecting throats, using a planar approximation for robustness and speed. The capability of the new algorithm was compared against an existing algorithm in the construction of pore-throat networks from X-ray computed tomography images of consolidated sandstones (7.5-22% porosity) and of an unconsolidated sand pack (32.5% porosity). We show that the probability of throat intersection increases significantly with porosity above 20%; in the sand pack, over 1/4 of all throats intersect with another.

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Pore space morphology analysis using maximal inscribed spheres

Cited by 411 publications

References 36 publications

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Augmented Topological Descriptors of Pore Networks for Material Science

A re‐examination of throats

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