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Improvement of remeshed Lagrangian methods for the simulation of dissolution processes at pore-scale

机译:孔径下溶出过程模拟倒闭拉格朗日方法的改进

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This article shows how to consistently and accurately manage the Lagrangian formulation of chemical reaction equations coupled with the superficial velocity formalism introduced in the late 80s by Quintard and Whitaker. Lagrangian methods prove very helpful in problems in which transport effects are strong or dominant, but they need to be periodically put back in a regular lattice, a process called remeshing. In the context of digital rock physics, we need to ensure positive concentrations and regularity to accurately handle stagnation point neighborhoods. These two conditions lead to the use of kernels resulting in extra-diffusion, which can be prohibitively high when the diffusion coefficient is small. This is the case especially for reactive porous media, and the phenomenon is reinforced in porous rock matrices due to Archie's law. This article shows how to overcome this difficulty in the context of a two-scale porosity model applied in the Darcy-Brinkman-Stokes equations, and how to obtain simultaneous sign preservation, regularity and accurate diffusion, and apply it to dissolution processes at the pore scale of actual rocks.
机译:本文展示了如何始终如一地准确地管理与Quintard和Whitaker在80年代后期引入的浅表速度形式的化学反应方程的拉格朗日配方。拉格朗日的方法对运输效果强大或占主导地位的问题非常有用,但他们需要定期重返常规格子,这是一个名为Remeshing的过程。在数字岩石物理学的背景下,我们需要确保积极的浓度和规律性,以准确处理停滞不前的邻居。这两个条件导致使用核导致额外扩散,当扩散系数小时,这可能会受到高昂的。这是特别适用于反应性多孔介质的情况,并且由于Archie的法律,在多孔岩基质中加强了现象。本文展示了如何在达西 - Brinkman-Stokes方程中应用的两种尺寸孔隙率模型的背景下克服这种困难,以及如何获得同时签署保存,规律性和准确的扩散,并将其应用于孔口的溶出过程实际岩石的规模。

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