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Pore-scale dispersion: bridging the gap between microscopic pore structure and the emerging macroscopic transport behavior

机译:孔隙分散:弥合微观孔隙结构与新兴宏观运输行为之间的差距

摘要

We devise an efficient methodology to provide a universal statistical description of advection-dominated dispersion (Péclet→∞) in natural porous media including carbonates. First, we investigate the dispersion of tracer particles by direct numerical simulation (DNS). The transverse dispersion is found to be essentially determined by the tortuosity and it approaches a Fickian limit within a dozen characteristic scales. Longitudinal dispersion was found to be Fickian in the limit for bead packs and superdiffusive for all other natural media inspected. We demonstrate that the Lagrangian velocity correlation length is a quantity that characterizes the spatial variability for transport. Finally, a statistical transport model is presented that sheds light on the connection between pore-scale characteristics and the resulting macroscopic transport behavior. Our computationally efficient model accurately reproduces the transport behavior in longitudinal direction and approaches the Fickian limit in transverse direction.
机译:我们设计了一种有效的方法,以提供对包括碳酸盐在内的天然多孔介质中对流主导的弥散度(Péclet→∞)的通用统计描述。首先,我们通过直接数值模拟(DNS)研究示踪剂颗粒的分散性。发现横向色散基本上由曲折度决定,并且在十几个特征量表内接近菲克极限。发现纵向分散在珠包装的极限中是菲克式的,并且对于所有其他检查的天然介质而言是超扩散的。我们证明了拉格朗日速度相关长度是一个表征运输空间变异性的量。最后,提出了一种统计传输模型,该模型阐明了孔尺度特征与所产生的宏观传输行为之间的联系。我们计算有效的模型可以准确地再现纵向运输行为,并在横向接近Fickian极限。

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    Meyer DW; Bijeljic B;

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  • 年度 2016
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