2021
DOI: 10.3389/frwa.2021.643714
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Computational Microfluidics for Geosciences

Abstract: Computational microfluidics for geosciences is the third leg of the scientific strategy that includes microfluidic experiments and high-resolution imaging for deciphering coupled processes in geological porous media. This modeling approach solves the fundamental equations of continuum mechanics in the exact geometry of porous materials. Computational microfluidics intends to complement and augment laboratory experiments. Although the field is still in its infancy, the recent progress in modeling multiphase flo… Show more

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Cited by 33 publications
(24 citation statements)
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References 157 publications
(207 reference statements)
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“…This additional Darcy-like term accounts for the drag force exerted on the liquid by the upper and lower plates of the reference experiment (Jiménez-Martínez et al 2017). h is the permeability and can be approximated as h ∼ h 2 ∕12 (Ferrari et al 2015;Soulaine et al 2021).…”
Section: Fluid Flow Modelingmentioning
confidence: 99%
“…This additional Darcy-like term accounts for the drag force exerted on the liquid by the upper and lower plates of the reference experiment (Jiménez-Martínez et al 2017). h is the permeability and can be approximated as h ∼ h 2 ∕12 (Ferrari et al 2015;Soulaine et al 2021).…”
Section: Fluid Flow Modelingmentioning
confidence: 99%
“…Computational methods for solving the mathematical model formed by Eqs. ( 8)-( 15) are challenged by the moving boundary due to the dissolution or precipitation of solid minerals [133]. Many approaches have been proposed to track the fluidrock interface along with surface reactions.…”
Section: Numerical Enginesmentioning
confidence: 99%
“…Pore-network models (PNMs) are a computationally efficient option for simulating the reactive transport processes under two-phase flow conditions, but require simplifications of the geometric solid-fluid interface and assumptions about uniform aqueous concentrations within a pore (Xiong et al, 2016). Lattice Boltzmann Methods (Chen et al, 2013(Chen et al, , 2015 and direct numerical simulations (DNS) (Haroun et al, 2010b;Marschall et al, 2012;Maes and Soulaine, 2018;Soulaine et al, 2018Soulaine et al, , 2021 provide alternatives that relax these restrictions. The LBM was able to reproduce experimental observations on wettability alteration during Low Salinity Water Flooding (Akai et al, 2020).…”
Section: Introductionmentioning
confidence: 99%