Evaluation of Permeability of Microporous Media, Using the Modified Random-Trajectory Approach

Romm, Freddy

doi:10.1006/jcis.2002.8333

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…Thus, percolation probability and permeability supplement each other in the characterization of porous materials, see also [1]. On the other hand, the computation of percolation probability from micro-tomographic (µCT) data is much faster than that of permeability even if one takes into consideration that there are approaches for rapid estimation of permeability using e. g. Brownian motion paths [8] or a modified random trajectory approach [21,22].…”

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confidence: 99%

Estimation of the probability of finite percolation in porous microstructures from tomographic images

Ohser¹,

Ferrero

Wirjadi

et al. 2012

International Journal of Materials Research

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Percolation is an important property of porous media, as it describes the connectivity of pores. We propose a novel, direction-dependent percolation probability which can be efficiently estimated from three-dimensional images obtained by microtomography. Furthermore, in order to describe the penetrability of the pore space by particles of a given diameter or a fluid of a given surface tension, we introduce a percolation probability depending on the width of the pores, from which we may also derive a measure of the mean pore channel width. As application examples, we consider the penetrability of porous beryllium pebbles, the connectivity of pores in arctic firn, the percolation of the pore space of aluminum foams and the mean width of the percolating space between the fibers in a laminate's percolating pore space

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