A simulation approach including under-resolved scales for multi-component fluid flows in multi-scale porous structures
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912739886104576 |
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| author | Otomo, Hiroshi Salazar-Tio, Rafael Yang, Jingjing Fan, Hongli Fager, Andrew Crouse, Bernd Zhang, Raoyang Chen, Hudong |
| author_facet | Otomo, Hiroshi Salazar-Tio, Rafael Yang, Jingjing Fan, Hongli Fager, Andrew Crouse, Bernd Zhang, Raoyang Chen, Hudong |
| contents | In this study, we develop computational models and methodology for accurate multi-component-flow simulation in under-resolved multi-scale porous structures. It is generally impractical to fully resolve the flow in porous structures with large length-scale difference due to tremendously high computational expense. The flow contributions from under-resolved scales need to be accounted for with proper physics modeling as well as simulation processes. Using pre-computed physical properties such as the absolute permeability, K0, the capillary-pressure-saturation curve, and the relative permeability, Kr, in typically resolved porous structures, local fluid force is conjectured and applied to simulation in the under-resolved regions that are represented by porous media. By doing so, accurate simulation of flow in multi-scale porous structures becomes feasible.
In order to check the accuracy and robustness of this method, a set of benchmark test cases are performed for both single-component and multi-component flows in artificially constructed multi-scale porous structures, and simulation results are compared with analytic solutions and/or results with much finer resolution resolving the porous structures. Quantitatively consistent results are obtained with proper input of K0, capillary pressure, and Kr in all tested cases.
Specifically, imbibition patterns, entry pressure, residual component patterns, and the absolute and relative permeability are accurately captured with this approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_01013 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A simulation approach including under-resolved scales for multi-component fluid flows in multi-scale porous structures Otomo, Hiroshi Salazar-Tio, Rafael Yang, Jingjing Fan, Hongli Fager, Andrew Crouse, Bernd Zhang, Raoyang Chen, Hudong Fluid Dynamics Computational Physics In this study, we develop computational models and methodology for accurate multi-component-flow simulation in under-resolved multi-scale porous structures. It is generally impractical to fully resolve the flow in porous structures with large length-scale difference due to tremendously high computational expense. The flow contributions from under-resolved scales need to be accounted for with proper physics modeling as well as simulation processes. Using pre-computed physical properties such as the absolute permeability, K0, the capillary-pressure-saturation curve, and the relative permeability, Kr, in typically resolved porous structures, local fluid force is conjectured and applied to simulation in the under-resolved regions that are represented by porous media. By doing so, accurate simulation of flow in multi-scale porous structures becomes feasible. In order to check the accuracy and robustness of this method, a set of benchmark test cases are performed for both single-component and multi-component flows in artificially constructed multi-scale porous structures, and simulation results are compared with analytic solutions and/or results with much finer resolution resolving the porous structures. Quantitatively consistent results are obtained with proper input of K0, capillary pressure, and Kr in all tested cases. Specifically, imbibition patterns, entry pressure, residual component patterns, and the absolute and relative permeability are accurately captured with this approach. |
| title | A simulation approach including under-resolved scales for multi-component fluid flows in multi-scale porous structures |
| topic | Fluid Dynamics Computational Physics |
| url | https://arxiv.org/abs/2512.01013 |