Abstract
Knowledge of the underlying mechanisms of multiphase flow dynamics in porous media is crucial for optimizing subsurface engineering applications like geological carbon sequestration. However, studying the micro-mechanisms of multiphase fluid–grain interactions in the laboratory is challenging due to the difficulty in obtaining mechanical data such as force and displacement. Traditional discrete element method models coupled with pore networks offer insights into these interactions but struggle with accurate pressure prediction during pore expansion from fracturing and efficient simulation during the slow drainage of compressible fluids. To address these limitations, we develop an advanced two-way coupled hydro-mechanical discrete element method model that accurately and efficiently captures fluid–fluid and fluid–grain interactions in deformable porous media. Our model integrates an unconditionally stable implicit finite volume approach, enabling significant timesteps for advancing fluids. A pressure-volume iteration scheme dynamically balances injection-induced pressure buildup with substantial pore structure deformation, while flow front-advancing criteria precisely locate the fluid–fluid interface and adaptively refine timesteps, particularly when capillary effects block potential flow paths. The model is validated against benchmark Hele-Shaw experiments in both rigid and deformable porous media, providing quantitative insights into the micro-mechanisms governing multiphase flow. For the first time, grain-scale inputs such as viscous and capillary pressures, energies, contact forces, and flow resistances are utilized to provide a detailed understanding of micro-scale fluid–fluid and fluid–grain flow patterns and their transitions. © 2025 Elsevier Inc.
| Original language | English |
|---|---|
| Article number | 114253 |
| Journal | Journal of Computational Physics |
| Volume | 539 |
| Online published | 24 Jul 2025 |
| DOIs | |
| Publication status | Published - 15 Oct 2025 |
| Externally published | Yes |
Funding
This work was supported by the HKU Postgraduate Scholarship. Kand Duan acknowledges funding from the National Key RD Program of China (No. 2023YFB2390300). We thank Dr. Yue (Olivia) Meng (Purdue University) and Dr. Zhibing Yang (Wuhan University) for insightful discussions that contributed to this study.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Research Keywords
- Hele-Shaw test simulation
- Hydro-mechanical coupling
- Implicit pressure-volume solver
- Micro-mechanisms
- Multiphase flow
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