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Modeling Fluid’s Dynamics with Master Equations in Ultrametric Spaces Representing the Treelike Structure of Capillary Networks

机译:使用超微空间中的主方程对流体动力学进行建模,该方程表示毛细管网络的树状结构

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摘要

We present a new conceptual approach for modeling of fluid flows in random porous media based on explicit exploration of the treelike geometry of complex capillary networks. Such patterns can be represented mathematically as ultrametric spaces and the dynamics of fluids by ultrametric diffusion. The images of p -adic fields, extracted from the real multiscale rock samples and from some reference images, are depicted. In this model the porous background is treated as the environment contributing to the coefficients of evolutionary equations. For the simplest trees, these equations are essentially less complicated than those with fractional differential operators which are commonly applied in geological studies looking for some fractional analogs to conventional Euclidean space but with anomalous scaling and diffusion properties. It is possible to solve the former equation analytically and, in particular, to find stationary solutions. The main aim of this paper is to attract the attention of researchers working on modeling of geological processes to the novel utrametric approach and to show some examples from the petroleum reservoir static and dynamic characterization, able to integrate the p -adic approach with multifractals, thermodynamics and scaling. We also present a non-mathematician friendly review of trees and ultrametric spaces and pseudo-differential operators on such spaces.
机译:我们提出了一种新的概念方法,用于基于对复杂毛细管网络的树状几何结构的显式探索,对随机多孔介质中的流体流动进行建模。可以将这些模式在数学上表示为超度量空间,并通过超度量扩散将其表示为流体动力学。描述了从真实的多尺度岩石样本和一些参考图像中提取的p -adic场的图像。在该模型中,将多孔背景视为有助于演化方程系数的环境。对于最简单的树,这些方程式比具有分数微分算子的方程式复杂得多,分数微分算子通常用于地质研究中,以寻找与常规欧几里得空间的分数分数类似物,但具有异常的缩放和扩散特性。可以解析地求解前一个方程,特别是可以找到固定解。本文的主要目的是吸引从事地质过程建模研究的人们对新型超计量学方法的关注,并展示一些来自石油储层静态和动态表征的示例,能够将p-adic方法与多重分形,热力学相结合和缩放。我们还提出了树木和超度量空间以及此类空间上的伪微分算子的非数学家友好评论。

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