2019
DOI: 10.1007/s11242-019-01243-9
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3D Microscale Flow Simulation of Shear-Thinning Fluids in a Rough Fracture

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Cited by 37 publications
(40 citation statements)
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“…T is commonly defined as the ratio between the average length of the actual fluid flow path through the porous matrix, L e , and the apparent length of the porous medium, L. In the absence of recirculation zones during the flow of an incompressible fluid, the surface average of L e /L weighted by the local flux over a reference surface perpendicular to the main flow direction is equivalent to the ratio between the surface average of the velocity magnitude field u j j À and the surface average of the component of velocity in the main flow direction u x À [46]. By taking the previous observation into account, T was calculated from the velocity maps obtained in the current simulations by using the following expression [14,46,47,48]:…”
Section: Calculation Of the Average Hydraulic Tortuositymentioning
confidence: 99%
“…T is commonly defined as the ratio between the average length of the actual fluid flow path through the porous matrix, L e , and the apparent length of the porous medium, L. In the absence of recirculation zones during the flow of an incompressible fluid, the surface average of L e /L weighted by the local flux over a reference surface perpendicular to the main flow direction is equivalent to the ratio between the surface average of the velocity magnitude field u j j À and the surface average of the component of velocity in the main flow direction u x À [46]. By taking the previous observation into account, T was calculated from the velocity maps obtained in the current simulations by using the following expression [14,46,47,48]:…”
Section: Calculation Of the Average Hydraulic Tortuositymentioning
confidence: 99%
“…These authors showed that the 2-D model was capable of predicting the location of the fluids in non-mixing flows. Also, for the first time, Zhang et al (2019) carried out 3D numerical simulations of the flow of shear-thinning fluids without yield stress through a roughwalled rock fracture, by extracting the input geometry from a computed microtomography image.…”
Section: The Procedures For Numerical Experimentsmentioning
confidence: 99%
“…It is typically assumed that macroscale models that were derived for Newtonian fluids can be used to model non-Newtonian flows using simple ad hoc extensions such as effective viscosities. This misunderstanding carries widespread implications, as non-Newtonian fluids appear regularly in biofluidics [1][2][3][4][5], geophysics [6][7][8][9][10][11][12][13], and subsurface processes such as hydraulic fracturing and enhanced oil recovery [14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…The current state of the science for non-Newtonian flow modeling in porous media is highly empirical, requiring experimentation or modeling results for every non-Newtonian fluid of interest, flowing within every geometry of interest over a wide range of flow rates to produce statistically fit parameters to be predictive [17,[31][32][33]. Models used are based on Darcy's law, assuming that the hydraulic conductivity of the system can be broken apart into a geometric intrinsic permeability term and a viscosity term, which in the case of non-Newtonian fluid flow is called the effective viscosity [17,20,31,32,[34][35][36][37][38][39][40][41][42].…”
Section: Introductionmentioning
confidence: 99%
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