Pore scale study of permeability and tortuosity for flow through particulate media using Lattice Boltzmann method

Ghassemi, Ali; Pak, Ali

doi:10.1002/nag.932

Cited by 100 publications

(37 citation statements)

References 43 publications

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“…the ratio of the distance connecting two points by a straight line and the shortest distance through the pore system, can be derived from these data using direct measurements or geodesic reconstructions [9]. For the diffusional tortuosity, random walk simulations following the Monte Carlo method [10,11] can be used while the hydraulic tortuosity is accessible through simulations of flow using the Lattice Boltzmann method [12,13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Particle Diffusion in Complex Nanoscale Pore Networks

et al. 2015

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We studied the diffusion of particles in the highly irregular pore networks of chalk, a very fine grained rock, by combining three dimensional X-ray imaging and dissipative particle dynamics (DPD) simulations. X-ray imaging data were collected at 25 nm voxel dimension for two chalk samples with very different porosities (5% and 26%). The three dimensional pore systems derived from the tomograms were imported into DPD simulations and filled with spherical particles of variable diameter and with an optional attractive interaction to the pore surfaces. We found that diffusion significantly decreased to as much as 60% when particle size increased from 1% to 35% of the average pore diameter). When particles were attracted to the pore surfaces, 2 even very small particles, diffusion was drastically inhibited, by as much as a factor of 100.Thus, the size of particles and their interaction with the pore surface strongly influence particle mobility and must be taken into account for predicting permeability in nanoporous rocks from primary petrophysical parameters such as surface area, porosity and tortuosity.

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Section: Introductionmentioning

confidence: 99%

Particle Diffusion in Complex Nanoscale Pore Networks

et al. 2015

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“…In addition to simulating fluid flow, the method has found wide application in simulating diffusion [26][27][28][29] and complex multiphysics phenomena [30][31][32]. Recently, with advances in imaging techniques and computational resources, the method is finding wide application in the characterization of the effective permeability of materials with complex micro-geometries [33][34][35][36][37][38]. The influence of the crack roughness on fluid flow and solute transport by advection has been recently investigated in [39].…”

Section: Lattice Boltzmann Methodsmentioning

confidence: 99%

The intrinsic permeability of microcracks in porous solids: Analytical models and Lattice Boltzmann simulations

Timothy

Meschke

2017

Num Anal Meth Geomechanics

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The paper presents a synthesis of analytical modeling and computational simulations of the intrinsic permeability of microcracks, embedded in porous materials taking into account the interaction of the fluid flow in the microcrack with the surrounding porous material. In the first part of the paper, using the DARCY, STOKES, BRINKMAN, and the BEAVERS-JOSEPH approximations, we derive the intrinsic permeability of a plain non-rough microcrack in terms of the microcrack geometry and the permeability of the porous material surrounding the microcrack. In the second part of the paper, the intrinsic permeability of a microcrack is determined by means of computational simulations using the framework of the lattice Boltzmann method with partial bounceback conditions. The comparison of predictions from the analytical model and the numerical simulations show an excellent agreement.The aim of this paper is (i) to estimate using a combination of analytical models and computational simulations, the intrinsic permeability of a plain non-rough microcrack considering the influence of the porous material surrounding the microcrack and (ii) to show via computational simulations

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“…Then, Eq. [9] can be expressed as: [10] ECS Transactions, 65 (1) 59-73 (2015) where f i (r,t) is the particle distribution function at position r and time t; f i eq (r,t) is the equilibrium particle distribution function and τ 1 is the relaxation time, c i is the velocity in the corresponding i-direction.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Porosity and Tortuosity in a 2D Selected Region of Solid Oxide Fuel Cell Cathode Using the Lattice Boltzmann Method

et al. 2015

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The solid oxide fuel cell (SOFC) is one of the most promising devices for getting electrical energy. There are a lot of advantages in the use of SOFCs such as their efficiency, higher electrical and thermal power production and reduction of the emission of polluting gases. Modeling the SOFC at downscale is one of the most important challenges in fuel cell (FC) research. Knowing the behavior of materials to this scale is a helpful tool to predict the physical and chemical phenomena within the FCs, improve their efficiency and reduce material costs. At micro-and mesoscale, Lattice Boltzmann Method (LBM) appears as a powerful tool for modeling fuel cells. LBM has been proven suitable for solving several physical phenomena in complex geometries such as porous media. Using the D2Q9 LBM scheme, the velocity field for a selected section of an SOFC cathode is determined. This velocity field is shown in 2D and 3D graphics. The porosity and tortuosity for this selected region are calculated and compared with previous results.

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Pore scale study of permeability and tortuosity for flow through particulate media using Lattice Boltzmann method

Cited by 100 publications

References 43 publications

Particle Diffusion in Complex Nanoscale Pore Networks

Particle Diffusion in Complex Nanoscale Pore Networks

The intrinsic permeability of microcracks in porous solids: Analytical models and Lattice Boltzmann simulations

Analysis of Porosity and Tortuosity in a 2D Selected Region of Solid Oxide Fuel Cell Cathode Using the Lattice Boltzmann Method

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