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Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks

机译:基于微尺度层析成像的多尺度孔隙网络模型,模拟异质岩中的排水

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摘要

The multi-phase flow behavior of complex rocks with broad pore size distributions often digresses from classical relations. Pore-scale simulation methods can be a great tool to improve the understanding of this behavior. However, the broad range of pore sizes present makes it difficult to gather the experimental input data needed for these simulations and poses great computational challenges. We developed a novel micro-computed-tomography (micro-CT) based dual pore network model (DPNM), which takes micro-porosity into account in an upscaled fashion using symbolic network elements called micro-links, while treating the macroporosity as a traditional pore network model. The connectivity and conductivity of the microporosity is derived from local information measured on micro-CT scans. Microporous connectivity is allowed both in parallel and in series to the macropore network. We allow macropores to be drained as a consequence of their connection with microporosity, permitting simulations where the macropore network alone does not percolate. The validity of the method is shown by treating an artificial network and a network extracted from a micro-CT scan of Estaillades limestone. (C) 2015 Elsevier Ltd. All rights reserved.
机译:具有宽孔径分布的复杂岩石的多相流动行为常常偏离经典关系。孔径模拟方法可以成为增进对这种行为的理解的好工具。然而,目前存在的大范围孔径使得难以收集这些模拟所需的实验输入数据,并带来了巨大的计算挑战。我们开发了一种新型的基于微计算机断层摄影(micro-CT)的双孔网络模型(DPNM),该模型使用称为微链接的符号网络元素以高级方式考虑了微孔,同时将大孔作为传统孔网络模型。微孔的连通性和电导率是根据在微CT扫描中测得的局部信息得出的。微孔连通性允许与大孔网络并联和串联。我们允许大孔由于其与微孔的连接而被排干,从而允许进行模拟,其中仅大孔网络不会渗透。通过处理人工网络和从Estaillades石灰石的微CT扫描中提取的网络,可以证明该方法的有效性。 (C)2015 Elsevier Ltd.保留所有权利。

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