2018
DOI: 10.1016/j.jcp.2018.08.045
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Multiscale computation of pore-scale fluid dynamics: Single-phase flow

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Cited by 27 publications
(27 citation statements)
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References 31 publications
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“…Amanbek et al (2019) developed a multi‐block method that basically decomposed the void space in porous media to accelerate the computation efficiently. Similar methods were also found in multi‐scale pore network models (Bultreys et al, 2015; Mehmani & Tchelepi, 2018, 2019). However, this kind of numerical treatment cannot fully resolve the scaling issue between pore‐ and Darcy‐scale models.…”
Section: Introductionsupporting
confidence: 60%
See 1 more Smart Citation
“…Amanbek et al (2019) developed a multi‐block method that basically decomposed the void space in porous media to accelerate the computation efficiently. Similar methods were also found in multi‐scale pore network models (Bultreys et al, 2015; Mehmani & Tchelepi, 2018, 2019). However, this kind of numerical treatment cannot fully resolve the scaling issue between pore‐ and Darcy‐scale models.…”
Section: Introductionsupporting
confidence: 60%
“…However, the DBS‐based micro‐continuum framework is computationally demanding for simulations using high‐resolution images. Subsequently, Guo et al (2019) extended the pore‐level multi‐scale model (Mehmani & Tchelepi, 2018, 2019) to the previously developed micro‐continuum method, which successfully achieved an effective multi‐scale formulation for compressible Darcy–Stokes flow in porous media by domain decomposition. The model was proved to be computationally efficient and well suited for parallelization to simulate fluid dynamics in 2D and 3D porous media reconstructed from high‐resolution digital images.…”
Section: Application Of the Multi‐scale Modelmentioning
confidence: 99%
“…A prerequisite for predicting solute transport is the ability to predict the routing of the pathways across complex pore systems, also known as streamline routing. Despite numerous attempts, streamline routing has not been resolved analytically for complex pore structures (Hull and Koslow 1986;Bruderer and Bernabé 2001;Mehmani and Tchelepi 2017), and it remains to be seen whether or not an analytical prediction is feasible. We reiterate the challenge by demonstrating the complexity of streamline routing through a very regular structure.…”
Section: Streamline Routingmentioning
confidence: 99%
“…However, other research fields where multi-phase fluid flow occurs in multi-scale porous media can benefit from the new method, too. In the context of hydrology, geoscience and petroleum engineering, potential applications are the prediction of microbiologically affected groundwater flow [41,42], geologic carbon storage or sequestration [43,44], and the recovery of oil, dry natural gas, or shale gas from tight gas sandstones [14,45], carbonates [14,45] and shale formations [13], respectively. This paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%