Multiscale formulation of pore-scale compressible Darcy-Stokes flow
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Final Accepted Manuscript
Affiliation
Univ Arizona, Dept Hydrol & Atmospher SciIssue Date
2019-11-15Keywords
Porous mediaMultiscale method
Pore-scale modeling
Darcy-Stokes flow
Compressible flow
Microporosity
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ACADEMIC PRESS INC ELSEVIER SCIENCECitation
Guo, B., Mehmani, Y., & Tchelepi, H. A. (2019). Multiscale formulation of pore-scale compressible Darcy-Stokes flow. Journal of Computational Physics, 397, 108849.Journal
JOURNAL OF COMPUTATIONAL PHYSICSRights
© 2019 Elsevier Inc. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Direct numerical simulation (DNS) of fluid dynamics in digital images of porous materials is challenging due to the cut-off length issue where interstitial voids below the resolution of the imaging instrument cannot be resolved. Such subresolution microporosity can be critical for flow and transport because they could provide important flow pathways. A micro-continuum framework can be used to address this problem, which applies to the entire domain a single momentum equation, i.e., Darcy-Brinkman-Stokes (DBS) equation, that recovers Stokes equation in the resolved void space (i.e., macropores) and Darcy equation in the microporous regions. However, the DBS-based micro-continuum framework is computationally demanding. Here, we develop an efficient multiscale method for the compressible Darcy-Stokes flow arising from the micro-continuum approach. The method decomposes the domain into subdomains that either belong to the macropores or the microporous regions, on which Stokes or Darcy problems are solved locally, only once, to build basis functions. The nonlinearity from compressible flow is accounted for in a local correction problem on each subdomain. A global interface problem is solved to couple the local bases and correction functions to obtain an approximate global multiscale solution, which is in excellent agreement with the reference single-scale solution. The multiscale solution can be improved through an iterative strategy that guarantees convergence to the single-scale solution. The method is computationally efficient and well-suited for parallelization to simulate fluid dynamics in large high-resolution digital images of porous materials. (C) 2019 Elsevier Inc. All rights reserved.Note
24 month embargo; published online: 25 July 2019ISSN
0021-9991Version
Final accepted manuscriptSponsors
TOTAL through the Stanford TOTAL enhanced modeling of source rock (STEMS) projectae974a485f413a2113503eed53cd6c53
10.1016/j.jcp.2019.07.047
