A fuzzy logic based algorithm for defining and extracting pore network structure from tomography images of rocks

Moaddel, A.; Müter, Dirk; Gooya, R.; Sørensen, Henning Osholm; Stipp, S. L. S.

doi:10.1016/j.advwatres.2018.07.011

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…In porous media, the maximum pore coordination number, Z max , can be as large as 10 for example, in Berea sandstones (Dong & Blunt, 2009), dolomites (Moaddel et al., 2018), and limestones (Ebrahimi et al., 2013) or even 20, for example, in Fontainebleau sandstones (Lindquist et al., 2000) and glass bead packs (Yanuka et al., 1986). However, the average pore coordination number Z always stays around 3–4 (Blunt, 2017; Liang et al., 2000; Vogel & Roth, 2001).…”

Section: Discussionmentioning

confidence: 99%

Effect of Pore‐Scale Heterogeneity on Scale‐Dependent Permeability: Pore‐Network Simulation and Finite‐Size Scaling Analysis

Ghanbarian

Esmaeilpour

Ziff

et al. 2021

Water Resources Research

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Flow and transport in porous media are typically investigated at four main length scales, namely, pore, core, lysimeter, and field scales. Accordingly, a long-standing problem in subsurface hydrology has been relating a property's value at one scale, for example, field, to its value at another scale, such as the core scale. This process, called scaling, has been a subject of active research in the past several decades (see, e.g.,

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Section: Discussionmentioning

confidence: 99%

Effect of Pore‐Scale Heterogeneity on Scale‐Dependent Permeability: Pore‐Network Simulation and Finite‐Size Scaling Analysis

Ghanbarian

Esmaeilpour

Ziff

et al. 2021

Water Resources Research

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“…Meanwhile, for an ideal droplet existing in an isolated single pore, χ = 1 (β 0 = 1, β 1 = 0). Additionally, the sphericity index (ψ), ranging from 0 to 1, is a shape factor that describes the similarity of oil clusters to a sphere . The index is defined as where V (μm 3 ) and A (μm 2 ) represent the volume and surface area of distinct oil clusters, respectively.…”

Section: Materials and Methodsmentioning

confidence: 99%

“…Additionally, the sphericity index (ψ), ranging from 0 to 1, is a shape factor that describes the similarity of oil clusters to a sphere. 46 The index is defined as…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

Pore-Scale Investigation of Dynamic Immiscible Displacement in Layered Media using Synchrotron X-ray Microtomography

Kim

Lim

et al. 2021

Environ. Sci. Technol.

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Understanding the dynamics of immiscible fluid in a porous media is critical in many chemical and environmental engineering processes. However, the geological heterogeneity effect on multiphase flow behavior remains unclear. Here, the dynamics of immiscible fluid displacement and entrapment were experimentally demonstrated at pore-level using time-lapse synchrotron X-ray microtomography. A drainage-imbibition experiment was designed using an unconsolidated layered sand pack that comprised coarse sand and fine sand zones. There were significant differences between the two zones, with regard to the temporal variations in fluid saturation and morphological evolution of nonwetting fluid (oil) during imbibition. Highly connected oil clusters in the coarse zone broke up into many small fragments, whereas the cluster in the fine zone remained connected while spanning multiple pores. To further understand the impacts of pore size and connectivity on multiphase fluid dynamics, a new approach that tracks the temporal variation of immiscible fluid in individual pores was conducted. The surface area at the oil–water interface increased during imbibition, which is expected to facilitate mass transfer and surface interactions. Understanding immiscible fluid displacement in layered porous media at the pore-level could lead to more effective environmental remediation.

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A novel digital extraction approach of pore network models from carbonates inspired by quantum genetic optimization techniques

Zhao,

Shou,

Zhou

2024

Acta Geotech.

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A fuzzy logic based algorithm for defining and extracting pore network structure from tomography images of rocks

Cited by 4 publications

References 42 publications

Effect of Pore‐Scale Heterogeneity on Scale‐Dependent Permeability: Pore‐Network Simulation and Finite‐Size Scaling Analysis

Effect of Pore‐Scale Heterogeneity on Scale‐Dependent Permeability: Pore‐Network Simulation and Finite‐Size Scaling Analysis

Pore-Scale Investigation of Dynamic Immiscible Displacement in Layered Media using Synchrotron X-ray Microtomography

A novel digital extraction approach of pore network models from carbonates inspired by quantum genetic optimization techniques

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