Insight into particle retention and clogging in porous media; a pore scale study using lattice Boltzmann method

Parvan, Amin; Jafari, Saeed; Rahnama, Mohammad; Norouzi-Apourvari, Saeid; Raoof, Amir

doi:10.1016/j.advwatres.2020.103530

Cited by 42 publications

(16 citation statements)

References 70 publications

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“…This shows that, for such complex samples, Kozeny-Carman-type relations are not adequate because they assume a unique relation between porosity and permeability. We expect that more complex relations which include topological properties of the media should be developed (Parvan et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Petrophysical Correlations for the Permeability of Coquinas (Carbonate Rocks)

et al. 2020

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The pore structure of many carbonate formations is known to be very complex and heterogeneous. Heterogeneity is manifested by the presence of different types, sizes, and shapes of pores resulting from sedimentation and diagenetic actions. These complexities greatly increase uncertainties in estimated rock hydraulic properties in that different permeability values may occur for samples having similar porosities. In order to understand the effects of pore structure and heterogeneity, petrophysical analyses were performed on coquina samples from the Morro do Chaves Formation (Barremian, Sergipe-Alagoas Basin), which is an analogue of Brazilian Pre-salt oil reservoirs of Itapema Formation in the Santos Basin. Routine core analyses, and NMR and MICP measurements were carried out to obtain pore body and pore throat distributions. Obtained T2 relaxation times were converted to pore size radii by matching the NMR and MICP curves. Pore-scale imaging and pore network modelling were performed using microCT scans and the PoreFlow software, respectively. Calculated permeabilities using PoreFlow showed excellent agreement with the routine laboratory measurements. Samples having pore bodies with a higher coordination number showed much larger permeabilities at similar porosities. This study includes a statistical analysis of various features that caused the observed differences in permeability of the coquinas, including the role of connectivity of the entire porous system. Limitations and challenges of the various techniques, and the imaging and pore-scale flow simulations, are discussed.

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Section: Discussionmentioning

confidence: 99%

Petrophysical Correlations for the Permeability of Coquinas (Carbonate Rocks)

et al. 2020

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“…However, erosion will be finished rapidly if the rock and soil have good erosion conditions like wide pores, low confining pressure, and a high hydraulic gradient (L. Zhang, Peng, Chang, & Xu, 2016), but erosion may not occur at all if pore clogging is the dominant process. However, the permeability coefficient of rock and soil mass is greatly reduced by pore-clogging (Han & Kwon, 2023;Parvan et al, 2020;Wang et al, 2022), which both impedes fluid movement and causes soil subsurface erosion to develop relatively slowly, suggesting that the evolution process may account for the majority of the time during soil erosion. And because pore clogging easily occurs with a size ratio of the pore constriction to the particle of 3-5 (Gella et al, 2018;Valdes & Santamarina, 2008), the geometry of pores has an impact on fluid flow that can no longer be ignored (Dincau et al, 2022(Dincau et al, , 2023Jäger et al, 2017Jäger et al, , 2018Vani et al, 2022).…”

Section: Implications For the Calculation Of Subsurface Fines Transpo...mentioning

confidence: 99%

Clogging and Unclogging of Fine Particles in Porous Media: Micromechanical Insights From an Analog Pore System

Yin,

Cui,

Jing

2024

Water Resources Research

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Pore clogging and unclogging in porous media are ubiquitous in subsurface hydrologic processes, which have been studied extensively at various scales ranging from a single pore to porous‐medium samples. However, it remains unclear how fluid flow, particle rearrangement, and the arching effect typical of cone‐shaped pore geometry interact and how they are captured by a pressure drop model at the macroscopic scale. Here, we investigate the pore‐scale feedback mechanisms between fluid flow and pore clogging and unclogging using a fully resolved fluid‐particle coupling approach (lattice Boltzmann method‐discrete element method). We first propose to use a truncated‐cone pore to represent realistic pore geometries revealed by X‐ray images of prepared sand packing. Then, our simulations indicate that the pore cone angle significantly influences the pressure drop associated with the clogging process by enhancing particle contacts due to arching. A modified Ergun equation is developed to consider this geometric effect. At the microscale, clogging can be explained by the interparticle force statistics; a few particles in an arch (or a dome) take the majority of hydrodynamic pressure. The maximum interparticle force is positively proportional to the particle Reynolds number and negatively associated with the tangent of the pore cone angle. Finally, a formula is established utilizing fluid characteristics and pore cone angle to compute the maximal interparticle force. Our findings, especially a modified pressure drop model that accounts for pore geometry resistance, provide guidance for applying pore‐scale models of clogging and unclogging to large‐scale subsurface fines transportation issues, including seepage‐induced landslides, stream bank failure, and groundwater recharge.

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“…The open and closed pores' geometric properties are calculated using the algorithm code [28]. A. Parvan et al [29] obtained the real pore structure to explore the development process of hydraulic characteristics.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation study on pore clogging of pervious concrete pavement based on different aggregate gradation

et al. 2023

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Pervious concrete (PC) pavements can effectively reduce surface runoff, but it will be clogged with time and its service life will be affected. In this study, based on three groups of PC specimens with different aggregate gradations optimized by previous experiments, the pavement-clogging simulation test is carried out using the two-way coupling of the particle flow code with computational fluid dynamics (PFC-CFD). The results show that when the gradation of aggregates in the pervious pavement is different, the volume fraction of clogging material in the pavement and the time when the volume fraction of the clogging material reaches the maximum are also different. It is related to the zigzag degree and size of the pore in the pervious pavement. The smaller the particle size of coarse aggregate in the pervious pavement, the easier it is to be clogged, and the discontinuous graded coarse aggregate has a good shielding effect on the clogging material. Different clogging material gradations have different effects on the clogging of pervious pavements. According to the aforementioned research results, researchers can select different mix ratios of anti-clogging PC according to different areas of use. The law obtained from the experiment can provide a reference for further study of the double-layer pervious pavement structure design.

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Insight into particle retention and clogging in porous media; a pore scale study using lattice Boltzmann method

Cited by 42 publications

References 70 publications

Petrophysical Correlations for the Permeability of Coquinas (Carbonate Rocks)

Petrophysical Correlations for the Permeability of Coquinas (Carbonate Rocks)

Clogging and Unclogging of Fine Particles in Porous Media: Micromechanical Insights From an Analog Pore System

Numerical simulation study on pore clogging of pervious concrete pavement based on different aggregate gradation

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