A Probability-Based Pore Network Model of Particle Jamming in Porous Media

Li, Zihao; Yang, Hongtao; Sun, Zhuang; Espinoza, D. Nicolas; Balhoff, Matthew T.

doi:10.1007/s11242-021-01673-4

Cited by 14 publications

(6 citation statements)

References 36 publications

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“…Reddi et al (2000) suggest adopting values from similar studies in literature, such as the θ 0 reported in Rege & Fogler (1988) for bentonite suspensions, as well as the interstitial velocities in granular soils from the experimental work of Gruesbeck & Collins (1982), at which particle deposition is unlikely. Recent computational studies on pore-network models investigate the parameters affecting the likelihood of particle's deposition (Li et al, 2021;Lin et al, 2021).…”

Section: Probabilistic Modelsmentioning

confidence: 99%

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Lippera,

Werban,

Vienken

2023

AS-ITJGW

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Managed Aquifer Recharge (MAR) sites suffer from the long-lasting problem of clogging. The causes of clogging are physical, biological, chemical and mechanical processes and their complex interaction, with physical clogging being recognised as the predominant process. The intrusion and deposition of particles during water recharge affect the hydraulic properties of the infiltration surface, resulting in a decline in the infiltration capacity of the site over the operating years. Cleaning operations are necessary to restore the original infiltration rates. For this purpose, assessing the risk of clogging can determine the site’s vulnerability and improve the scheme’s design. Numerical models are essential to replicate physical clogging processes and predict the decline in infiltration rates. So far, predictive tools for physical clogging assessment have been missing in MAR literature. Hence, the purpose of this study is to analyse and reorganise physical clogging models from applied engineering fields dealing with water infiltration in natural heterogeneous systems. The modelling approaches are illustrated, starting from the main assumptions and conceptualisation of the soil volume and intruding particles. The individual processes are untangled from the multiple studies and reorganised in a systematic comparison of mathematical equations relevant to MAR applications. The numerical models’ predictive power is evaluated for transferability, following limitations and recommendations for a process-based model applicable to surface spreading schemes. Finally, perspectives are given for clogging risk assessment at MAR sites from modelling and site characterisation. The predictive tool could assist decision-makers in planning the MAR site by implementing cost-effective strategies to lower the risk of physical clogging.

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Section: Probabilistic Modelsmentioning

confidence: 99%

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Lippera,

Werban,

Vienken

2023

AS-ITJGW

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“…Thus, the exact clogging process of particles in porous media was directly predicted. Li et al [16] simulated the effects of the grain/particle size ratio on the clogging probability when particle bridging occurred using computational fluid dynamics discrete element method (CFD-DEM). Zhou et al [17] studied particle retention and permeability impairment in porous media due to exclusion using the lattice Boltzmann method-DEMimmersed moving boundary method (LBM-DEM-IBM), and Feng et al [18] studied the effect of particle size and concentration on the permeability of porous media in a simulation using CFD-DEM.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of particle retention in water-saturated porous media and the effect of particle concentration

Sun

2023

Preprint

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The transport and retention of particles in slurry passing through porous media causes particle clogging, which is affected primarily by the ratio of the particle diameter to pore-throat size of the porous media. A previous study reported that the particle retention is affected by both the Stokes number and particle concentration. Therefore, this study investigates the effect of the diameter and concentration of particles on particle clogging in porous media. Furthermore, the effect of fluid velocity on particle clogging and permeability of the porous media is also investigated to study particle transport and retention in homogeneous porous media. Fluid-particle two-phase flow in porous media is numerically simulated using the computational fluid dynamics-discrete element method. Particle clogging can be directly precited via the interaction between the particles and surface of the porous media by tracing the exact location of each particle. The simulation reveals that an increase of the particle concentration increases the possibility of the particles being retained in the porous media. Additionally, particles are accumulated at the entrance region of the porous media when the particle concentration is high in the dense region.

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“…Lin et al (2022) simulated the depth of particles invading a porous medium using the CFD-DEM and studied the effects of the particle diameter. Li et al (2021) simulated the effects of the grain/particle size ratio on the clogging probability when particle bridging occurred using computational fluid dynamics discrete element method (CFD-DEM). Feng et al (2020) studied the effect of particle size and concentration on the permeability of porous media in a simulation using CFD-DEM.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamics and effect of velocity on particle filtration due to bridging in water-saturated porous media using CFD–DEM simulation

Sun

2023

Environ Sci Pollut Res

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Particle bridging owing to the confinement of the pore structure affects the transport and retention of particles in porous media. Particle motion driven by gravities were well investigated, whose filtration is mainly affected by the ratio of the particle diameter to the pore throat size of the medium. However, particles whose motions are driven by the fluid is essential to be investigated for particle separation from the carrying fluid. In this study, the motion of particles was driven by the liquid when passing through a water-saturated porous medium. The fluid-particle flow in a porous medium was modeled using computational fluid dynamics-discrete element method. The motion of particles in the slurry was traced in the porous medium, which enabled particle clogging to be directly precited by the interaction between the particles and pore surfaces by assessing the exact location of each particle. The pressure and flow field of the liquid were investigated, and the variation in flow path owing to particle clogging was predicted. The hydrodynamic study also showed that the Stokes number and particle concentration determined the particle clogging at the pore throats of the porous medium. Increasing the fluid velocity of particles such that the Stokes number was almost equal to 1 increased the separation efficiency of particles. Further increasing the fluid velocity reduced the residence time, which reduced the separation efficiency of the particles.

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A Probability-Based Pore Network Model of Particle Jamming in Porous Media

Cited by 14 publications

References 36 publications

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Numerical study of particle retention in water-saturated porous media and the effect of particle concentration

Hydrodynamics and effect of velocity on particle filtration due to bridging in water-saturated porous media using CFD–DEM simulation

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