Title: Enhanced Permeability Estimation in Microporous Rocks Using a Hybrid Macropore-Darcy Approach Show Chinese title

Title: 使用混合大孔-达西方法增强微孔岩石的渗透率估算

Abstract: This study presents a novel workflow for constructing hybrid macropore-Darcy models from micro-CT images of microporous rocks. In our approach, macropore networks are extracted using established methods, while the microporosity is characterised through segmented phase classification and incorporated into the model as Darcy cells. Effectively, Darcy cells capture the micro scale connectivity variations that are missing in the macroscopic networks. This dual entity model thus incorporates both the conventional macroscopic pore structure and the critical flow pathways present in the under-resolved microporous regions. The proposed workflow is rigorously validated by comparing the permeability estimates with direct numerical simulation (DNS) results and experimental measurements. Our findings demonstrate that this hybrid approach reliably reproduces fluid flow behaviour in complex porous media while significantly reducing computational demands, offering a promising tool for advanced groundwater modelling and water resource management. Show Chinese abstract

Abstract: 本研究提出了一种新颖的工作流程，用于从微观多孔岩石的微CT图像构建混合大孔-达西模型。 在我们的方法中，大孔网络通过现有方法提取，而微孔隙则通过分段相位分类进行表征，并作为达西单元纳入模型中。 实际上，达西单元捕捉了宏观网络中缺失的微观尺度连通性变化。 因此，这种双实体模型结合了传统的宏观孔隙结构以及未充分解析的微观多孔区域中的关键流路径。 所提出的流程通过将渗透率估计与直接数值模拟（DNS）结果和实验测量进行比较进行了严格验证。 我们的研究结果表明，这种混合方法能够可靠地再现复杂多孔介质中的流体流动行为，同时显著降低计算需求，为先进的地下水建模和水资源管理提供了一个有前景的工具。