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Coupled electrohydrodynamic transport in rough fractures: a generalized lubrication theory

Published online by Cambridge University Press:  17 May 2022

Mainendra Kumar Dewangan
Affiliation:
Discipline of Mechanical Engineering, Indian Institute of Technology Gandhinagar, Palaj 382355, Gujrat, India
Uddipta Ghosh*
Affiliation:
Discipline of Mechanical Engineering, Indian Institute of Technology Gandhinagar, Palaj 382355, Gujrat, IndiaUniv. Rennes, CNRS, Géosciences Rennes (UMR6118), 35042 Rennes, France
Tanguy Le Borgne
Affiliation:
Univ. Rennes, CNRS, Géosciences Rennes (UMR6118), 35042 Rennes, France
Yves Méheust*
Affiliation:
Univ. Rennes, CNRS, Géosciences Rennes (UMR6118), 35042 Rennes, France
*
†Email addresses for correspondence: uddipta.ghosh@iitgn.ac.in, yves.meheust@univ-rennes1.fr
†Email addresses for correspondence: uddipta.ghosh@iitgn.ac.in, yves.meheust@univ-rennes1.fr

Abstract

Fractures provide pathways for fluids and solutes through crystalline rocks and low permeability materials, thus playing a key role in many subsurface processes and applications. In small aperture fractures, solute transport is strongly impacted by the coupling of electrical double layers at mineral–fluid interfaces to bulk ion transport. Yet, most models of flow and transport in fractures ignore these effects. Solving such coupled electrohydrodynamics in realistic three-dimensional (3-D) fracture geometries poses computational challenges which have so far limited our understanding of those electro-osmotic effects’ impact. Starting from the Poisson–Nernst–Planck–Navier–Stokes (PNPNS) equations and using a combination of rescaling, asymptotic analysis and the Leibniz rule, we derive a set of nonlinearly coupled conservation equations for the local fluxes of fluid mass, solute mass and electrical charges. Their solution yields the fluid pressure, solute concentration and electrical potential fields. The model is validated by comparing its predictions to the solutions of the PNPNS equations in 3-D rough fractures. Application of the model to realistic rough fracture geometries evidences several phenomena hitherto not reported in the literature, including: (i) a dependence of the permeability and electrical conductivity on the fracture walls’ charge density, (ii) local (sometimes global) flow reversal, and (iii) spatial heterogeneities in the concentration field without any imposed concentration gradient. This new theoretical framework will allow systematically addressing large statistics of fracture geometry realizations of given stochastic parameters, to infer the impact of the geometry and various hydrodynamic and electrical parameters on the coupled transport of fluid and ions in rough fractures.

Information

Type
JFM Papers
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1.A synthetic single fracture with self-affine walls of Hurst exponent $0.8$ connects two reservoirs along the $x'$-axis. The aperture field $a'(x',y')$ has a mean $a'_{m} = 100\,\mathrm {\mu }$m and standard deviation $\sigma ' = 0.9\,a'_{m}$. The correlation length is $L_{c}= L'_x/2 = 10^3 a'_{m} = 10$ cm. The fracture is closed along its lateral boundaries (defined by $y'=0$ and $y'=L'_y$). The walls carry a surface charge distribution, represented by an equivalent zeta potential $\zeta '(x',y')$. The outlet and the inlet are subjected to different levels of pressure, concentration and electrical potential.

Figure 1

Table 1.Characteristic (Char.) scales chosen to non-dimensionalize the PNPNS equations and the equations expressing the associated boundary conditions.

Figure 2

Figure 2.(a) Schematic of a synthetic rough fracture used to validate the lubrication theory against 3-D numerical simulations. The fracture has a correlation length $L_c = l_0 = 1$, spatial dimensions $L_x = L_y= 2$, a mean aperture $a_{{m},*} = \varepsilon = 0.1$ and a standard deviation $\sigma _{*} = 0.2 a_{{m},*}$. The fracture walls are symmetrical, defined by $h_{t,*} = (1/2)a_{*}(x_*,y_*)$ and $h_{t,*} = -h_{b,*}(x_*,y_*)$. The surface potential is given by $\zeta _{b} = \zeta _{t} = \zeta _0\sin (2{\rm \pi} x_*)$. Inlet and outlet conditions remain the same as in (4.15). (b) Aperture field $a_{*}(x_*,y_*)$ of the fracture.

Figure 3

Figure 3.Comparison of the spatial variations in $\tilde {c}$ (a,b), $\psi _{{ind}}$ (c,d) and $p_{{ind},*}$ (e, f) between the generalized lubrication theory (lines) and the 3-D numerical simulations (symbols), for three values of $\zeta _0$: $0.5$ (red circles), $1.0$ (blue diamonds) and $1.2$ (black squares); (a,c,e) as a function of $x$ at $y=1$ (or, $y_*=1$); (b,d, f) as a function of $y$ at $x = 0.4$ (or $x_*=0.4$). The other relevant variables are as follows: $\kappa _* = 25,\;\beta = 1.5,\;\alpha = 0.02,\;c_{{in}} \!=\! 1, \;c_{{ex}} = 0.75$, $p_{in} = 0$, $p_{ex} = -2$ and $Pe = 3$.

Figure 4

Figure 4.Spatial variations of the bulk concentration $\tilde {c}$ (a,b), bulk induced potential $\psi _{{ind}}$ (d,e) and induced pressure $p_{{ind}} = \varepsilon ^2p_{ind,*}$ (g,h) in the central plane $z_* = 0$ of the fracture. Figures (a,d,g) show the results from the generalized lubrication theory, whereas figures (b,e,h) show the results from the 3-D numerical simulations under identical conditions. Figures (c, f,i) respectively illustrate the relative differences between the results from the lubrication theory and 3-D numerical simulations in $\tilde {c}$, $\psi$ and $p$. Other relevant parameters are: $\alpha = 0.05,\;\kappa _* = 25,\;\zeta _0 = 1,\;Pe = 3$, $p_{in} = 0$, $p_{ex} = -2$ and $\beta = 1$. Results are shown for (a) $\tilde {c}$, lubrication; (b) $\tilde {c}$, 3-D numerics; (c) $\tilde {c}$, relative difference; (d) $\psi _{{ind}}$, lubrication; (e) $\psi _{{ind}}$, 3-D numerics; ( f) $\psi _{{ind}}$, relative difference; (g) $p_{{ind}}$, lubrication; (h) $p_{{ind}}$, 3-D numerics; (i) $p_{{ind}}$, relative difference.

Figure 5

Figure 5.(a) Aperture field $a(x,y)$ of a self-affine fracture (realization 1) with mean $a_{m} = 1$, standard deviation $\sigma = 0.6$ and correlation length $L_{c} = 1$; the light blue colour denotes the regions where the fracture is closed. (b) Map of the bulk concentration field $\tilde {c}$ over the fracture plane (in grey level) and vector plot of the solute (salt) flux $\boldsymbol {J}_{H}$. (c) Map of the fluid pressure field $p_{0,{ind}}$ and vector plot of the volumetric flow rate of the liquid, $\boldsymbol {Q}_{H}$. (d) Maps of the induced electrical potential field $\phi _{{ind}}$ and vector plot of the current (charge) flux $\boldsymbol {I}_{H}$. We have chosen $\zeta _0 = -1.5$ and values of all other parameters are given in table 2. Results are shown for realization 1 (a) $a(x,y)$; (b) $\tilde {c}$ & $\boldsymbol {J}_{H}$; (c) $p_{0,{ind}}$ & $\boldsymbol {Q}_{H}$; (d) $\phi _{{ind}}$ & $\boldsymbol {I}_{H}$.

Figure 6

Figure 6.(a) Aperture field map $a(x,z)$ for a self-affine fracture (realization 2) with the same properties as the fracture considered in figure 5; the light blue colour denotes the regions where the fracture is closed. (b) Map of the bulk concentration $\tilde {c}$ and vector plot of the solute (salt) flux $\boldsymbol {J}_{H}$. (c) Map of the fluid pressure $p_{0,{ind}}$ and vector plot of the volumetric flow rate $\boldsymbol {Q}_{H}$. (d) Map of the induced electrical potential $\phi _{{ind}}$ and vector plot of the current (charge) flux $\boldsymbol {I}_{H}$. Here, $\zeta _0 = -1.5$, while all other parameters remain the same as in figure 5. Results are shown for realization 2 (a) $a(x,y)$; (b) $\tilde {c}$ & $\boldsymbol {J}_{H}$; (c) $p_{0,{ind}}$ & $\boldsymbol {Q}_{H}$; (d) $\phi _{{ind}}$ & $\boldsymbol {I}_{H}$.

Figure 7

Figure 7.(a) Aperture field map for the same realization (realization 2) of a self-affine fracture as shown in figure 6; the light blue colour denotes the regions where the fracture is closed. (b) Map of bulk concentration $\tilde {c}$ and vector plot of solute (salt) flux $\boldsymbol {J}_{H}$. (c) Map of fluid pressure $p_{0,{ind}}$ along the fracture plane and vector plot of volumetric flow rate of the liquid, $\boldsymbol {Q}_{H}$. (d) Map of the induced potential $\phi _{{ind}}$ and vector plot of the current (charge) flux $\boldsymbol {I}_{H}$. Here $\zeta_0 = 1.5$, while all other parameters are identical to those corresponding to figure 5. Results are shown for realization 2 (a) $a(x,y)$; (b) $\tilde {c}$ & $\boldsymbol {J}_{H}$; (c) $p_{0,{ind}}$ & $\boldsymbol {Q}_{H}$; (d) $\phi _{{ind}}$ & $\boldsymbol {I}_{H}$.

Figure 8

Figure 8.(a) Aperture field of realization 2 (same as that in figure 7). (b–d) Colour-coded streamlines of fluid motion for $\zeta _0 = -1.5$ (b), $\zeta _0 = 0$ (c) and $\zeta _0 = 1.5$ (d). The colour indicates the direction of $Q_x$: the blue (darker) colour indicates $Q_x>0$ (forward flow) and orange-brown (lighter) colour indicates $Q_x<0$ (backward flow). All parameters other than $\zeta_0$ remain the same as in figure 5. Results are shown for realization 2 (a) $a(x,y)$; (b) streamlines, $\bar {\zeta }_0 = -1.5$; (c) streamlines, $\bar {\zeta }_0 = 0$; (d) streamlines, $\bar {\zeta }_0 = 1.5$.

Figure 9

Table 2.Values of other parameters for the different realizations shown in figures 5–8 are as follows: $p_{in} = 0,\;p_{ex} = -2,\;c_{ex} = 1,\;\kappa = 10,$ $\alpha = 0.03,\;\beta = 1.5,\;Pe = 3.0,\;\sigma =0.6,\;L_x = L_y = 2;$ $\lambda = 0.8$ and $L'_c/L'_x = 1/2.$

Figure 10

Figure 9.(a) Dependence of the hydraulic aperture $a_{h}$ (non-dimensionalized by the fracture's mechanical aperture $a_{m}$) on the standard deviation of the aperture field ($\sigma$) (also non-dimensionalized by $a_{m}$), for three different choices of $\zeta _0 = -1.5$, $0$, $1.5$. (b) Dependence of the effective electrical aperture $a_{e}$ on $\sigma$ for the same values of $\zeta _0$. (c) Standard deviation in the bulk concentration distribution ($\tilde {c}$) over the entire fracture ($\sigma _C$) as a function of $\sigma$, for the same values of $\zeta _0$. (d) Standard deviation of $Q_x$ ($\sigma _{Q_x}$ normalized by the planar-averaged $Q_x$, denoted as $Q_{x,{m}}$) for three different values of $\zeta _0$, as a function of $\sigma$. Each value of $a_{h}$, $a_{e}$, $\sigma _C$ and $\sigma _{Q_x}$ represent an average over fifteen different realizations of the fractures with same parameters. Values of all other relevant parameters are given in table 2. (a) Hydraulic aperture. (b) Electrical aperture. (c) Standard deviation of $\tilde {c}$. (d) Standard deviation of $Q_x$.

Figure 11

Figure 10.Comparison of the generalized lubrication theory with 3-D numerical simulations for different choices of $\varepsilon = 0.1$, $0.2$ and $0.3$. Results are shown for (a) $\psi _{{ind}}$ vs $x$, (b) $\tilde {c}$ vs $x$ and (c) $p_{{ind},*}$ vs $x$, all along the line $y = 1$. The other relevant parameters have the following values: $\beta = 1.0$, $\zeta _0 = 1$, $p_{in} = 0$, $p_{ex} = -2$, $c_{ex} = 0.75$, $\kappa _* = 25$, $\alpha = 0.05$ and $Pe = 3.0$.

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