Pore-Scale Flow and Dispersion

Robert S. Maier (), D. M. Kroll, H. Ted Davis and Robert S. Bernard
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Robert S. Maier: Army High Performance Computing Research Center, 1100 Washington Avenue So., Minneapolis, MN 55415, USA
D. M. Kroll: Department of Medicinal Chemistry and Minnesota Supercomputer Institute, University of Minnesota, Minneapolis, MN 55415, USA
H. Ted Davis: Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA
Robert S. Bernard: Waterways Experiment Station, U.S. Army Corps of Engineers, 3909 Halls Ferry Road, Vicksburg, MS 39180-6199, USA

International Journal of Modern Physics C (IJMPC), 1998, vol. 09, issue 08, 1523-1533

Abstract: Pore-scale simulations of fluid flow and mass transport offer a direct means to reproduce and verify laboratory measurements in porous media. We have compared lattice-Boltzmann (LB) flow simulations with the results of NMR spectroscopy from several published flow experiments. Although there is qualitative agreement, the differences highlight numerical and experimental issues, including the rate of spatial convergence, and the effect of signal attenuation near solid surfaces. For the range of Reynolds numbers relevant to groundwater investigations, the normalized distribution of fluid velocities in random sphere packings collapse onto a single curve, when scaled with the mean velocity. Random-walk particle simulations in the LB flow fields have also been performed to study the dispersion of an ideal tracer. These simulations show an encouraging degree of quantitative agreement with published NMR measurements of hydrodynamic and molecular dispersion, and the simulated dispersivities scale in accordance with published experimental and theoretical results for the Peclet number rangek1 ≤Pe≤1500. Experience with the random-walk method indicates that the mean properties of conservative transport, such as the first and second moments of the particle displacement distribution, can be estimated with a number of particles comparable to the spatial discretization of the velocity field. However, the accurate approximation of local concentrations, at a resolution comparable to that of the velocity field, requires significantly more particles. This requirement presents a significant computational burden and hence a numerical challenge to the simulation of non-conservative transport processes.

Keywords: Sphere Packing; Flow; Dispersion; Simulation; Lattice-Boltzmann (search for similar items in EconPapers)
Date: 1998
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DOI: 10.1142/S0129183198001370

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