Collaborative Research: 4D Visualization and Modeling of Two-Phase Flow and Deformation in Porous Media beyond the Realm of Creeping Flow

合作研究：蠕动流领域之外的多孔介质中两相流和变形的 4D 可视化和建模

• 批准号: 2000968
• 负责人: Muhammad Sahimi
• 金额: $ 26.65万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2000968&HistoricalAwards=false
• 关键词: Collaborative; Research; 4D; Visualization; Modeling

Porous media (e.g., sponge, paper, fabrics, rock, and soil) are materials with pores distributed in a solid matrix. When pores are connected, fluids can flow through them. Understanding and predicting fluid flow in porous media is important as it occurs in a wide range of applications, from contamination of groundwater and soil to printing on paper and fabrics. By understanding flow pathways, we can make accurate predictions of the fluid flow, which in turn, will help us design and control related processes. However, predicting fluid flow in porous media is still a long-standing problem. While observing fluid flow in simple two-dimensional porous media can be straightforward, the same is not true in more realistic three-dimensional cases. This proposal aims to carry out an integrated computational and experimental study to provide a more accurate description of flow pathways and realistic fluid flow and the resultant deformations in such materials. Although non-destructive 3D imaging has provided much information about fluid distribution in porous materials, fast and cost-effective 4D pore-scale visualization (i.e., over a period of time) is still very difficult, costly and time-consuming. Furthermore, although visualization of multiphase flow in porous media has been extensively studied in 2D models, there have been very few of such studies in 4D (or even 3D). One goal of this proposal is to develop a 4D method for visualization of two-phase flow in transparent porous media and the deformation that it induces in the media beyond the realm of creeping flow, i.e. when the flow is very slow. This goal will be achieved by collecting 2D images from various angles, which will then be used with a computational algorithm to build a highly detailed 4D image of the multiphase flow. Detailed computations will be carried out in which the two-phase fluid flow and the resulting deformation will be simulated in the same porous media beyond creeping flow. The investigators will also study and identify the critical Reynolds number (Re) at which the transition from the Darcy regime to Forchheimer and eventually turbulent flows occurs. The effect of wettability on the deformation of porous media during two-phase flow will also be investigated. Distinct deformation modes of a porous medium will also be examined under a wide range of Reynolds number and wettability conditions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

多孔培养基（例如海绵，纸，织物，岩石和土壤）是孔中分布在固体基质中的材料。当连接孔时，流体可以流过它们。了解和预测多孔培养基中的流体流量很重要，因为它发生在广泛的应用中，从地下水和土壤污染到在纸张和织物上印刷。通过了解流道，我们可以对流体流进行准确的预测，这反过来将有助于我们设计和控制相关的过程。但是，预测多孔培养基中的流体流量仍然是一个长期存在的问题。虽然在简单的二维多孔介质中观察流体流程可能很简单，但在更现实的三维情况下，情况并非如此。该提案旨在进行集成的计算和实验研究，以更准确地描述流道和逼真的流体流以及所得的这种材料中的变形。尽管无损的3D成像提供了有关多孔材料中流体分布的大量信息，但快速且具有成本效益的4D孔隙尺度可视化（即在一段时间内）仍然非常困难，成本高昂且耗时。此外，尽管在2D模型中对多孔介质中多相流的可视化进行了广泛的研究，但在4D（甚至3D）中，此类研究很少。该提案的一个目标是开发一种4D方法，以可视化透明多孔介质中的两相流量以及它在爬行流的范围之外引起的介质的变形，即当流动非常慢时。该目标将通过从各个角度收集2D图像来实现，然后将其与计算算法一起使用，以构建多相流的高度详细的4D图像。将进行详细的计算，其中两相流体流以及所得的变形将在相同的多孔介质中模拟，而不是爬行流。研究人员还将研究和确定从达西政权向福切氏症的过渡，最终发生湍流的关键雷诺数（RE）。还将研究润湿性对两相流动过程中多孔介质变形的影响。在广泛的雷诺数和润湿性条件下，还将检查多孔介质的独特变形模式。该奖项反映了NSF的法定任务，并认为使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。

项目成果

Data-driven discovery of the governing equations for transport in heterogeneous media by symbolic regression and stochastic optimization

通过符号回归和随机优化，以数据驱动的方式发现异质介质中传输的控制方程

• DOI: 10.1103/physreve.107.l013301
• 发表时间: 2023
• 期刊: Physical Review E
• 影响因子: 2.4
• 作者: Im, Jinwoo;de Barros, Felipe P.;Masri, Sami;Sahimi, Muhammad;Ziff, Robert M.
• 通讯作者: Ziff, Robert M.

Estimating Dispersion Coefficient in Flow Through Heterogeneous Porous Media by a Deep Convolutional Neural Network

通过深度卷积神经网络估计非均质多孔介质流动的色散系数

• DOI: 10.1029/2021gl094443
• 发表时间: 2021
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Kamrava, Serveh;Im, Jinwoo;Barros, Felipe P.;Sahimi, Muhammad
• 通讯作者: Sahimi, Muhammad

Percolation and conductivity in evolving disordered media

不断演化的无序介质中的渗流和电导率

• DOI: 10.1103/physreve.108.024132
• 发表时间: 2023
• 期刊: Physical Review E
• 影响因子: 2.4
• 作者: Berg, Carl Fredrik;Sahimi, Muhammad
• 通讯作者: Sahimi, Muhammad

Universal Frequency-Dependent Permeability of Heterogeneous Porous Media: Effective–Medium Approximation and Critical-Path Analysis

非均质多孔介质的通用频率相关渗透率：有效介质近似和关键路径分析

• DOI: 10.1007/s11242-022-01839-8
• 发表时间: 2022
• 期刊: Transport in Porous Media
• 影响因子: 2.7
• 作者: Sahimi, Muhammad

The Transition from Darcy to Nonlinear Flow in Heterogeneous Porous Media: I—Single-Phase Flow

• DOI: 10.1007/s11242-024-02070-3
• 发表时间: 2024-03
• 期刊: Transport in Porous Media
• 影响因子: 2.7
• 作者: S. Arbabi;Muhammad Sahimi