Multiscale digital core fluid–solid damage coupling simulation for deep reservoirs based on free-flow and seepage coupling
Abstract The efficient exploitation of deep energy resources and secure CO 2 sequestration hinge on understanding fluid–solid damage coupling in reservoir rocks. However, existing pore-scale models often overlook the multiscale nature of pore systems and the evolution of rock damage. To address this, we develop a multiscale fluid–solid damage coupling simulation method based on digital core technology and continuum damage theory. By fusing high-resolution SEM images with large-field-of-view CT scans via machine learning, we construct a digital core that explicitly represents both micrometer-scale macropores (from CT) and four categories of sub-resolution matrix pores (from SEM). The Darcy-Brinkman-Stokes equation couples free flow and seepage, while the Span-Wagner equation captures the properties of supercritical CO 2 . Microstructural analysis shows total damage is most correlated with micropore fraction ( R 2 = 0.95), while apparent permeability strongly correlates with average micropore size ( R 2 = 0.89). The results reveal that confining pressure critically regulates the damage mechanism. When the confining pressure is below 60 MPa, total damage decreases and tensile failure dominates; when the confining pressure exceeds 60 MPa, total damage increases because shear failure rises significantly. Consequently, permeability loss can reach 63.7% under high confining stress. Micrometer-scale macropores dominate flow. Well-connected Category 1 matrix pores show flow velocities 298 times higher than the least connected matrix pore category, demonstrating the strong control of pore connectivity on microscale flow dynamics. Furthermore, increasing CO 2 injection pressure reduces effective stress, enhancing tensile damage and apparent permeability by up to 37%, but elevated fluid viscosity creates a competing resistance that can suppress flow velocities. This work provides a quantitative framework for predicting flow capacity and damage evolution in deep reservoirs under multi-field coupling conditions.
Authors
- Gloire Imani (ORCID: https://orcid.org/0000-0002-5126-8491)
- Hai Sun (ORCID: https://orcid.org/0000-0001-9510-7270)
- Jun Yao (ORCID: https://orcid.org/0000-0002-9711-1588)
- Lei Zhang (ORCID: https://orcid.org/0000-0003-3638-6219)
- Kai Zhang (ORCID: https://orcid.org/0000-0001-7735-7663)
- Yongfei Yang
- Liang Zhou
Institutions
- China University of Petroleum, East China (CN)
Publication Details
- Journal
- International Journal of Coal Science & Technology
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1007/s40789-026-00925-2
- Primary Topic
- CO2 Sequestration and Geologic Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- National Science and Technology Major Project