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Permeability in Two‐Component Porous Media: Effective‐Medium Approximation Compared with Lattice‐Boltzmann Simulations
Author(s) -
Ghanbarian Behzad,
Daigle Hugh
Publication year - 2016
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2015.05.0071
Subject(s) - lattice boltzmann methods , porous medium , permeability (electromagnetism) , tortuosity , porosity , spheres , materials science , mechanics , lattice (music) , binary number , chemistry , physics , composite material , mathematics , biochemistry , arithmetic , astronomy , membrane , acoustics
Core Ideas Permeability lattice‐Boltzmann simulations in binary mixtures are presented. Effective‐medium approximation (EMA) results are compared with numerical simulations. Accurate predictions by EMA depend on packing arrangement, grain shape, and porosity. Porous materials such as rocks, soils, and peats are typically complex mixtures built up of more than one component, with intrinsic permeabilities that depend on factors such as pore shape and surface area, tortuosity, and connectivity. In such media, the macroscopic permeability is an integrated combination of the permeabilities of the individual components. In this study, we numerically simulated fluid flow in binary mixtures of low‐ and high‐permeability components constructed of spheres and ellipsoids using the lattice‐Boltzmann (LB) method to model permeability in porous media. We then applied the effective‐medium approximation (EMA) to predict permeability in the simulated binary mixtures. Our results indicate a very good match between predicted permeabilities by EMA and those simulated by LB in simple and body‐centered cubic packs as long as the permeability of the high‐permeability component K h is not substantially different than that of the low‐permeability component K l . The upper limit of K h / K l for which the EMA approach results in very accurate permeability predictions depends on several factors, such as packing arrangement, grain shape, and porosity. Including all data, we found the EMA permeability predictions still within a factor of two of the LB simulations.

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