<p>The efficiency of carbon geological sequestration and brine recovery in subsurface porous media is fundamentally governed by complex pore-scale geometry and the resultant multiphase flow dynamics. This study develops a comprehensive digital rock physics workflow to elucidate the underlying microscale mechanisms. By integrating micro-CT scanning with Avizo-based 3D pore structure reconstruction, a representative digital core model was constructed and quantitatively characterized in terms of its geometric properties. A multiphysics coupled CO<sub>2</sub>-brine two-phase flow model was subsequently established and solved using the finite element method to simulate the CO<sub>2</sub>-enhanced water recovery process, enabling direct visualization of fluid migration within the actual pore space. The results indicate that residual brine exhibits a highly heterogeneous spatial distribution following CO<sub>2</sub> injection, predominantly retained within micropores, nanopores, and weakly connected regions, whereas pore connectivity is identified as the primary factor governing flow pathways. Compared with single-channel injection, the multi-channel injection enhanced brine recovery efficiency by 54.5%, attributed to elevated local pressure and flow velocity. Furthermore, a strong quantitative relationship between pore morphology and displacement efficiency was identified. Pore geometries approaching circularity, characterized by low boundary curvature, and exhibited the highest displacement efficiency, with ideal circular pores achieving 99.46%. These pore-scale findings provide a mechanistic foundation and a technically feasible approach for optimizing the co-benefits of CO<sub>2</sub> storage and energy recovery in deep saline aquifers.</p>

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Quantitative Characterization of Micro-Structure and CO2-Brine Seepage Simulation Based on the Reconstructed Digital Core

  • Yanjing Li,
  • Meiheriayi Mutailipu,
  • Fusheng Xue,
  • Peng Sun,
  • Yu Liu

摘要

The efficiency of carbon geological sequestration and brine recovery in subsurface porous media is fundamentally governed by complex pore-scale geometry and the resultant multiphase flow dynamics. This study develops a comprehensive digital rock physics workflow to elucidate the underlying microscale mechanisms. By integrating micro-CT scanning with Avizo-based 3D pore structure reconstruction, a representative digital core model was constructed and quantitatively characterized in terms of its geometric properties. A multiphysics coupled CO2-brine two-phase flow model was subsequently established and solved using the finite element method to simulate the CO2-enhanced water recovery process, enabling direct visualization of fluid migration within the actual pore space. The results indicate that residual brine exhibits a highly heterogeneous spatial distribution following CO2 injection, predominantly retained within micropores, nanopores, and weakly connected regions, whereas pore connectivity is identified as the primary factor governing flow pathways. Compared with single-channel injection, the multi-channel injection enhanced brine recovery efficiency by 54.5%, attributed to elevated local pressure and flow velocity. Furthermore, a strong quantitative relationship between pore morphology and displacement efficiency was identified. Pore geometries approaching circularity, characterized by low boundary curvature, and exhibited the highest displacement efficiency, with ideal circular pores achieving 99.46%. These pore-scale findings provide a mechanistic foundation and a technically feasible approach for optimizing the co-benefits of CO2 storage and energy recovery in deep saline aquifers.