Reliability of Algorithms Interpreting Topological and Geometric Properties of Porous Media for Pore Network Modelling
Reliability of Algorithms Interpreting Topological and Geometric Properties of Porous Media for Pore Network Modelling
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DOI：
10.1007/s11242-019-01244-8
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发表时间：
2019-05-01
影响因子：
2.7
通讯作者：
Withers, Philip J.
中科院分区：
文献类型：
--
作者：
Baychev, Todor G.;Jivkov, Andrey P.;Withers, Philip J.
孔隙网络模型（pmms）为分析多孔介质中的运移提供了一种高效的计算方法。它们的有效性取决于它们在多大程度上代表了真实孔隙系统的拓扑结构和几何形状，例如x射线CT成像。两种流行的算法，最大球和分水岭，在三种多孔系统中进行了性能评估：一种具有已知孔喉特性的理想介质，以及两种不同形态形成的岩石——碳酸盐岩和砂岩。结果表明，虽然提取的PNM模拟简单流动（渗透率）的精度可以接受，但它们的拓扑和几何性质存在显著差异。这表明，这种PNM可能不适用于更复杂的研究，如污染物或细菌的反应性/对流传输，需要进一步的研究来改进对真实孔隙空间的解释。推导并提出了线性拓扑几何关系，以促进更现实的PNM的发展。
Pore network models (PNMs) offer a computationally efficient way to analyse transport in porous media. Their effectiveness depends on how well they represent the topology and geometry of real pore systems, for example as imaged by X-ray CT. The performance of two popular algorithms, maximum ball and watershed, is evaluated for three porous systems: an idealised medium with known pore throat properties and two rocks with different morphogenesiscarbonate and sandstone. It is demonstrated that while the extracted PNM simulates simple flow (permeability) with acceptable accuracy, their topological and geometric properties are significantly different. This suggests that such PNM may not serve more complex studies, such as reactive/convective transport of contaminants or bacteria, and further research is necessary to improve the interpretation of real pore spaces with networks. Linear topology-geometry relations are derived and presented to stimulate development of more realistic PNM.