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首页> 外文期刊>Entropy >P -Adic Analog of Navier–Stokes Equations: Dynamics of Fluid’s Flow in Percolation Networks (from Discrete Dynamics with Hierarchic Interactions to Continuous Universal Scaling Model)
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P -Adic Analog of Navier–Stokes Equations: Dynamics of Fluid’s Flow in Percolation Networks (from Discrete Dynamics with Hierarchic Interactions to Continuous Universal Scaling Model)

机译:Navier-Stokes方程的P -Adic模拟:渗流网络中的流体流动动力学(从具有分层相互作用的离散动力学到连续通用比例模型)

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摘要

Recently p -adic (and, more generally, ultrametric) spaces representing tree-like networks of percolation, and as a special case of capillary patterns in porous media, started to be used to model the propagation of fluids (e.g., oil, water, oil-in-water, and water-in-oil emulsion). The aim of this note is to derive p -adic dynamics described by fractional differential operators (Vladimirov operators) starting with discrete dynamics based on hierarchically-structured interactions between the fluids’ volumes concentrated at different levels of the percolation tree and coming to the multiscale universal topology of the percolating nets. Similar systems of discrete hierarchic equations were widely applied to modeling of turbulence. However, in the present work this similarity is only formal since, in our model, the trees are real physical patterns with a tree-like topology of capillaries (or fractures) in random porous media (not cascade trees, as in the case of turbulence, which we will be discussed elsewhere for the spinner flowmeter commonly used in the petroleum industry). By going to the “continuous limit” (with respect to the p -adic topology) we represent the dynamics on the tree-like configuration space as an evolutionary nonlinear p -adic fractional (pseudo-) differential equation, the tree-like analog of the Navier–Stokes equation. We hope that our work helps to come closer to a nonlinear equation solution, taking into account the scaling, hierarchies, and formal derivations, imprinted from the similar properties of the real physical world. Once this coupling is resolved, the more problematic question of information scaling in industrial applications will be achieved.
机译:最近,代表树状渗滤网络的p -adic(并且更普遍地是超度量)空间,并作为多孔介质中毛细管模式的特例,已开始用于模拟流体(例如,油,水,水包油和油包水乳液)。本说明的目的是基于分数体积的流体,这些流体的体积集中在渗滤树的不同水平上,并进入多尺度通用渗透网的拓扑。离散层次方程的类似系统已广泛应用于湍流建模。但是,在目前的工作中,这种相似性只是形式上的,因为在我们的模型中,树木是真实的物理模式,在随机的多孔介质中具有毛细血管(或裂缝)的树状拓扑结构(在湍流情况下不是级联树) ,我们将在其他地方讨论石油工业中常用的旋转流量计)。通过转到“连续极限”(关于p -adic拓扑),我们将树状配置空间上的动力学表示为演化非线性p -adic分数阶(伪)微分方程,即Navier–Stokes方程。我们希望我们的工作能够帮助我们更接近非线性方程解,并考虑到缩放比例,层次结构和形式导数,这些结果是从真实物理世界的相似属性中得出的。一旦解决了这种耦合,就可以解决工业应用中信息缩放的更多问题。

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