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Review of pore network modelling of porous media: experimental characterisations, network constructions and applications to reactive transport

机译:多孔介质孔隙网络模型的回顾:实验特征,网络结构和反应运输的应用

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摘要

Pore network models have been applied widely for simulating a variety of different physical and chemical processes, including phase exchange, non-Newtonian displacement, non-Darcy flow, reactive transport and thermodynamically consistent oil layers. The realism of such modelling, i.e. the credibility of their predictions, depends to a large extent on the quality of the correspondence between the pore space of a given medium and the pore network constructed as its representation. The main experimental techniques for pore space characterisation, including direct imaging, mercury intrusion porosimetry and gas adsorption, are firstly summarised. A review of the main pore network construction techniques is then presented. Particular focus is given on how such constructions are adapted to the data from experimentally characterised pore systems. Current applications of pore network models are considered, with special emphasis on the effects of adsorption, dissolution and precipitation, as well as biomass growth, on transport coefficients. Pore network models are found to be a valuable tool for understanding and predicting meso-scale phenomena, linking single pore processes, where other techniques are more accurate, and the homogenised continuum porous media, used by engineering community.
机译:孔网络模型已被广泛用于模拟各种不同的物理和化学过程,包括相交换,非牛顿位移,非达西流,反应输运和热力学一致的油层。这种建模的真实性,即其预测的可信度,在很大程度上取决于给定介质的孔隙空间与构造为其表示的孔隙网络之间的对应关系的质量。首先总结了用于孔隙空间表征的主要实验技术,包括直接成像,压汞法和气体吸附。然后介绍了主要的孔网构造技术。特别关注的是这些构造如何适应实验表征的孔隙系统的数据。考虑了孔隙网络模型的当前应用,特别强调了吸附,溶解和沉淀以及生物量的增长对输运系数的影响。孔隙网络模型被发现是理解和预测中尺度现象,连接其他技术更为精确的单孔过程以及工程界使用的均质连续介质多孔介质的宝贵工具。

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