Published November 2019 | Version v1
Journal article

Multiscale formulation of pore-scale compressible Darcy-Stokes flow

  • 1. Department of Energy Resources Engineering, Stanford University, 367 Panama St., Stanford, CA, 94305-2220 (United States)

Description

Highlights: • Develop a multiscale method for compressible Darcy-Stokes flow at pore scale. • Multiscale solutions are in excellent agreement with direct numerical simulation (DNS). • Multiscale method is much more computational efficient than DNS. -- 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2019.07.047

Additional details

Identifiers

DOI
10.1016/j.jcp.2019.07.047;
PII
S0021999119305339;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
397
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54127087
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
COMPRESSIBLE FLOW; COMPUTERIZED SIMULATION; FLUID MECHANICS; ITERATIVE METHODS; NONLINEAR PROBLEMS; POROUS MATERIALS
Descriptors DEC
CALCULATION METHODS; FLUID FLOW; MATERIALS; MECHANICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Inc. All rights reserved.