Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes

Khan, Zohaib Atiq; Tranter, Thomas G.; Agnaou, Mehrez; Elkamel, Ali; Gostick, Jeff T.

doi:10.1016/j.compchemeng.2018.12.025

Cited by 31 publications

(27 citation statements)

References 35 publications

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“…A single continuum pore network model defines a void-solid structure in which the granular portion of the material does not contribute to the fluid flow (Blunt 2001). In the more recent pore network studies, many researchers have started to consider an implicit contribution for the solid phase assumed in the transport properties of porous media (Tahmasebi and Kamrava 2018;Bekri et al 2005;Bauer et al 2012Bauer et al , 2011Khan et al 2019;Bultreys et al 2015;Jiang et al 2013;de Vries et al 2017). The main logic behind this assumption is the fact that in the heterogeneous material, micro-pores residing in the solid section can affect the macroscopic properties of porous material in certain physical conditions.…”

Section: Meso-pore and Micro-pore Couplingmentioning

confidence: 99%

A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media

2020

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In this study, a novel triple pore network model (T-PNM) is introduced which is composed of a single pore network model (PNM) coupled to fractures and micro-porosities. We use two stages of the watershed segmentation algorithm to extract the required data from semireal micro-tomography images of porous material and build a structural network composed of three conductive elements: meso-pores, micro-pores, and fractures. Gas and liquid flow are simulated on the extracted networks and the calculated permeabilities are compared with dual pore network models (D-PNM) as well as the analytical solutions. It is found that the processes which are more sensitive to the surface features of material, should be simulated using a T-PNM that considers the effect of micro-porosities on overall process of flow in tight pores. We found that, for gas flow in tight pores where the close contact of gas with the surface of solid walls makes Knudsen diffusion and gas slippage significant, T-PNM provides more accurate solution compared to D-PNM. Within the tested range of operational conditions, we recorded between 10 and 50% relative error in gas permeabilities of carbonate porous rocks if micro-porosities are dismissed in the presence of fractures.

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Section: Meso-pore and Micro-pore Couplingmentioning

confidence: 99%

A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media

2020

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“…Efficient algorithms for the extraction of pore networks from 2D and 3D images are available in the literature [8,12,31], even for dual networks [17], within the open-source image analysis package…”

Section: Pore Network Modeling Formulationmentioning

confidence: 99%

Modeling transport of charged species in pore networks: Solution of the Nernst–Planck equations coupled with fluid flow and charge conservation equations

Agnaou

Sadeghi

Tranter

et al. 2020

Computers & Geosciences

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A pore network modeling (PNM) framework for the simulation of transport of charged species, such as ions, in porous media is presented. It includes the Nernst-Planck (NP) equations for each charged species in the electrolytic solution in addition to a charge conservation equation which relates the species concentration to each other. Moreover, momentum and mass conservation equations are adopted and there solution allows for the calculation of the advective contribution to the transport in the NP equations.The proposed framework is developed by first deriving the numerical model equations (NMEs) corresponding to the partial differential equations (PDEs) based on several different time and space discretization schemes, which are compared to assess solutions accuracy. The derivation also considers various charge conservation scenarios, which also have pros and cons in terms of speed and accuracy. Ion transport problems in arbitrary pore networks were considered and solved using both PNM and finite element method (FEM) solvers. Comparisons showed an average deviation, in terms of ions concentration, between PNM and FEM below 5% with the PNM simulations being over 10 4 times faster than the FEM ones for a medium including about 10 4 pores. The improved accuracy is achieved by utilizing more accurate discretization schemes for both the advective and migrative terms, adopted from the CFD literature. The NMEs were implemented within the open-source package OpenPNM based on the iterative Gummel algorithm with relaxation.This work presents a comprehensive approach to modeling charged species transport suitable for a wide range of applications from electrochemical devices to nanoparticle movement in the subsurface. (Jeff Gostick) 1 Model development, code implementation, manuscript drafting. 2 Model development, code implementation. 3 Code implementation, revising the manuscript. 4 Study design, code implementation.

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“…The network consists of nodes and edges that span the entire medium, where its complex topological characteristics are encoded on the connectivity between them [51,52]. Additionally, the local geometric characteristics of the porous medium are included on the length l i and radius r i of each individual edge, Fig.…”

Section: A Network Topologymentioning

confidence: 99%

The first open channel for a yield-stress fluid in complex porous media

Fraggedakis,

Chaparian,

Tammisola

2020

Preprint

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The prediction of the first fluidized path of a yield-stress fluid in complex porous media is a challenging yet an important task to understand the fundamentals of fluid flow in several industrial and biological processes. In most cases, the conditions that open this first path are known either through experiments or expensive computations. Here, we present a simple network model to predict the first open channel for a yield-stress fluid in a complex porous medium. For porous media made of non-overlapping disks, we find that the pressure drop required to open the first channel for given yield stress depends on both the relative disks size to the macroscopic length of the system and the packing fraction. We also report the statistics on the arc-length of the first open path. Finally, we discuss the implication of our results on the design of porous media used in energy storage applications.

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Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes

Abstract: Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes, Computers and Chemical Engineering (2018), doi:

Cited by 31 publications

References 35 publications

A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media

A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media

Modeling transport of charged species in pore networks: Solution of the Nernst–Planck equations coupled with fluid flow and charge conservation equations

The first open channel for a yield-stress fluid in complex porous media

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