Flow field statistics and scaling in random 2D porous media
ORAL
Abstract
Pore-scale simulations and analysis of fluid flow in a two-dimensional channel filled with a random array of cylinders are presented. Numerical calculations are obtained by solution of the Navier-Stokes equations using an unstructured finite-volume solver. The geometry of the random configurations are characterized by means of the Voronoi tessellation using cylinder center points. To investigate features such as large-scale coherence of the flow field, the Eulerian and Lagrangian statistics of the fluid velocity are computed and presented for a range of Reynolds numbers, spanning from the Darcy to the inertial and turbulent regimes. Additionally, the dependences of these statistics on the porosity and pore-length distributions of the random array of cylinders are presented, aiming to further the fundamental understanding of how the local pore structure controls large-scale flow features. These results have relevance in the characterization of properties such as tracer dispersion, pressure drop, and interphase convective heat transfer in porous media.
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Presenters
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Sadaf Sobhani
Stanford University, Department of Mechanical Engineering - Stanford University
Authors
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Sadaf Sobhani
Stanford University, Department of Mechanical Engineering - Stanford University
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Sourabh V. Apte
Oregon State University
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Matthias M. Ihme
Stanford University, Stanford Univ, Department of Mechanical Engineering - Stanford University