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Adaptive numerical homogenization for upscaling single phase flow and transport
- Source :
- Journal of Computational Physics, 387, 117-133. Academic Press Inc.
- Publication Year :
- 2019
- Publisher :
- Academic Press Inc., 2019.
-
Abstract
- We propose an adaptive multiscale method to improve the efficiency and the accuracy of numerical computations by combining numerical homogenization and domain decomposition for modeling flow and transport. Our approach focuses on minimizing the use of fine scale properties associated with advection and diffusion/dispersion. Here a fine scale flow and transport problem is solved in subdomains defined by a transient region where spatial changes in transported species concentrations are large while a coarse scale problem is solved in the remaining subdomains. Away from the transient region, effective macroscopic properties are obtained using local numerical homogenization. An Enhanced Velocity Mixed Finite Element Method (EVMFEM) as a domain decomposition scheme is used to couple these coarse and fine subdomains [1] . Specifically, homogenization is employed here only when coarse and fine scale problems can be decoupled to extract temporal invariants in the form of effective parameters. In this paper, a number of numerical tests are presented for demonstrating the capabilities of this adaptive numerical homogenization approach in upscaling flow and transport in heterogeneous porous medium.
- Subjects :
- Numerical Analysis
Materials science
Physics and Astronomy (miscellaneous)
Adaptive mesh refinement
Advection
Applied Mathematics
Computation
Domain decomposition methods
010103 numerical & computational mathematics
Mechanics
Mixed finite element method
01 natural sciences
Homogenization (chemistry)
Computer Science Applications
010101 applied mathematics
Computational Mathematics
Modeling and Simulation
0101 mathematics
Single phase
Multiscale methods
Porous medium
Numerical homogenization
Enhanced velocity
Subjects
Details
- Language :
- English
- ISSN :
- 00219991
- Volume :
- 387
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Physics
- Accession number :
- edsair.doi.dedup.....9bdb14c401e3b35828d135cdf2c5eb70
- Full Text :
- https://doi.org/10.1016/j.jcp.2019.02.014