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    Multiscale formulation of pore-scale compressible Darcy-Stokes flow

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    paper-jcp-revision.pdf
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    Author
    Guo, Bo
    Mehmani, Yashar
    Tchelepi, Hamdi A.
    Affiliation
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Issue Date
    2019-11-15
    Keywords
    Porous media
    Multiscale method
    Pore-scale modeling
    Darcy-Stokes flow
    Compressible flow
    Microporosity
    
    Metadata
    Show full item record
    Publisher
    ACADEMIC PRESS INC ELSEVIER SCIENCE
    Citation
    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 PHYSICS
    Rights
    © 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 2019
    ISSN
    0021-9991
    DOI
    10.1016/j.jcp.2019.07.047
    Version
    Final accepted manuscript
    Sponsors
    TOTAL through the Stanford TOTAL enhanced modeling of source rock (STEMS) project
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jcp.2019.07.047
    Scopus Count
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    UA Faculty Publications

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