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Real-Space Renormalization Estimates for Two-Phase Flow in Porous Media
Authors:Hansen  Alex  Roux  Stéphane Roux  Aharony  Amnon  Feder  Jens  Jøssang  Torstein  Hardy  H H
Institution:(1) Fraction a.s., Tåsenveien 74 C, 0873 Oslo, Norway;(2) Institutt for Fysikk, Norges Teknisk Naturvitenskapelige Universitetet, 7034 Trondheim, Norway;(3) Laboratoire de physique et Mécanique de la Matière Hétérogéne Ecole Supérieure de physique et Chimie Industrielle de Paris URA CNRS 857, 10 rue Vauquelin, F-75231 Paris Cédex 05, France;(4) Department of Physics, University of Oslo, Box 1048, Blindern, 0316 Oslo, Norway;(5) Raymond and Beverly Sackler Faculty of Exact Sciences, School of Physics and Astronomy, Tel-Aviv University, Tel-aviv, 69978, Israel;(6) Conoco Inc., Geoscience and Reservoir Research, Ponca City, Oklahoma, 74603, U.S.A
Abstract:We present a spatial renormalization group algorithm to handle immiscibletwo-phase flow in heterogeneous porous media. We call this algorithmFRACTAM-R, where FRACTAM is an acronym for Fast Renormalization Algorithmfor Correlated Transport in Anisotropic Media, and the R stands for relativepermeability. Originally, FRACTAM was an approximate iterative process thatreplaces the L × L lattice of grid blocks, representing the reservoir,by a (L/2) × (L/2) one. In fact, FRACTAM replaces the original L× L lattice by a hierarchical (fractal) lattice, in such a way thatfinding the solution of the two-phase flow equations becomes trivial. Thistriviality translates in practice into computer efficiency. For N=L ×L grid blocks we find that the computer time necessary to calculatefractional flow F(t) and pressure P(t) as a function of time scales as tausim N1.7 for FRACTAM-R. This should be contrasted with thecomputational time of a conventional grid simulator tau simN2.3. The solution we find in this way is an accurateapproximation to the direct solution of the original problem.
Keywords:effective properties  relative permeability  renormalization numerical algorithm heterogeneity  simulation
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