Pore-Scale Modeling of Electrokinetics in Geomaterials
Abstract
Pore-scale finite-volume continuum models of electrokinetic processes are used to predict the Debye lengths, velocity, and potential profiles for two-dimensional arrays of circles, ellipses and squares with different orientations. The pore-scale continuum model solves the coupled Navier–Stokes, Poisson, and Nernst–Planck equations to characterize the electro-osmotic pressure and streaming potentials developed on the application of an external voltage and pressure difference, respectively. Here, this model is used to predict the macroscale permeabilities of geomaterials via the widely used Carmen–Kozeny equation and through the electrokinetic coupling coefficients. The permeability results for a two-dimensional X-ray tomography-derived sand microstructure are within the same order of magnitude as the experimentally calculated values. The effect of the particle aspect ratio and orientation on the electrokinetic coupling coefficients and subsequently the electrical and hydraulic tortuosity of the porous media has been determined. These calculations suggest a highly tortuous geomaterial can be efficient for applications like decontamination and desalination.
- Authors:
-
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1781552
- Report Number(s):
- SAND-2021-3074J
Journal ID: ISSN 0169-3913; 694797
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Transport in Porous Media
- Additional Journal Information:
- Journal Volume: 137; Journal Issue: 3; Journal ID: ISSN 0169-3913
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; electrokinetics; geomaterials; permeability; electro-osmosis; streaming potentials
Citation Formats
Priya, Pikee, Kuhlman, Kristopher L., and Aluru, Narayana R. Pore-Scale Modeling of Electrokinetics in Geomaterials. United States: N. p., 2021.
Web. doi:10.1007/s11242-021-01581-7.
Priya, Pikee, Kuhlman, Kristopher L., & Aluru, Narayana R. Pore-Scale Modeling of Electrokinetics in Geomaterials. United States. https://doi.org/10.1007/s11242-021-01581-7
Priya, Pikee, Kuhlman, Kristopher L., and Aluru, Narayana R. Wed .
"Pore-Scale Modeling of Electrokinetics in Geomaterials". United States. https://doi.org/10.1007/s11242-021-01581-7. https://www.osti.gov/servlets/purl/1781552.
@article{osti_1781552,
title = {Pore-Scale Modeling of Electrokinetics in Geomaterials},
author = {Priya, Pikee and Kuhlman, Kristopher L. and Aluru, Narayana R.},
abstractNote = {Pore-scale finite-volume continuum models of electrokinetic processes are used to predict the Debye lengths, velocity, and potential profiles for two-dimensional arrays of circles, ellipses and squares with different orientations. The pore-scale continuum model solves the coupled Navier–Stokes, Poisson, and Nernst–Planck equations to characterize the electro-osmotic pressure and streaming potentials developed on the application of an external voltage and pressure difference, respectively. Here, this model is used to predict the macroscale permeabilities of geomaterials via the widely used Carmen–Kozeny equation and through the electrokinetic coupling coefficients. The permeability results for a two-dimensional X-ray tomography-derived sand microstructure are within the same order of magnitude as the experimentally calculated values. The effect of the particle aspect ratio and orientation on the electrokinetic coupling coefficients and subsequently the electrical and hydraulic tortuosity of the porous media has been determined. These calculations suggest a highly tortuous geomaterial can be efficient for applications like decontamination and desalination.},
doi = {10.1007/s11242-021-01581-7},
journal = {Transport in Porous Media},
number = 3,
volume = 137,
place = {United States},
year = {Wed Mar 31 00:00:00 EDT 2021},
month = {Wed Mar 31 00:00:00 EDT 2021}
}
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