利用孔隙尺度直接数值模拟加深对干燥多孔介质自发浸润的理解

Luka Malenica, Zhidong Zhang, Ueli Angst
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摘要

对自发浸润进行数学描述的传统方法通常基于宏观尺度模型(如理查兹方程)或简化的孔隙尺度模型(如毛细管束模型(BCTM)或孔网络模型(PNM))。众所周知,这些模型无法提供多相流过程的全部微观细节,许多孔隙尺度的机制仍然缺乏适当的数学描述。为了提高传统模型的预测能力,需要从根本上了解孔隙尺度动力学。本文的重点是获得毛细管控制的水吸入干燥多孔介质过程中特定过程的详细观点和一致解释。我们使用二维模型几何结构,对孔隙尺度的气水多相流进行基于流体体积的全动态直接数值模拟,研究传统模型通常未考虑的过程。更具体地说,我们研究了汇聚和发散几何形状之间的差异、孔隙填充过程中的动态压力和半月板重构,以及惯性和孔隙大小对浸润动力学和毛细障碍发生的影响。此外,我们还对非相互作用和相互作用 BCTM 进行了详细比较,并研究了狭窄收缩对浸润动力学和非润湿相捕获的影响。所获得的知识可用于改进预测模型,考虑到自发吸附在许多不同的自然和工业过程中的重要性,这些模型具有广泛的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards improved understanding of spontaneous imbibition into dry porous media using pore-scale direct numerical simulations
Traditional approaches to mathematically describe spontaneous imbibition are usually based on either macro-scale models, such as Richards equation, or simplified pore-scale models, such as the bundle of capillary tubes (BCTM) or pore-network modeling (PNM). It is well known that such models cannot provide full microscopic details of the multiphase flow processes and that many pore-scale mechanisms still lack proper mathematical descriptions. To improve the predictive capabilities of traditional models, a fundamental understanding of pore-scale dynamics is needed. The focus of this paper is obtaining detailed insight and consistent explanation of particular processes during capillary-controlled water imbibition into dry porous media. We use two-dimensional model geometries and perform fully dynamic volume-of-fluid based direct numerical simulations of air-water multiphase flow at the pore-scale, to study processes that generally are not considered in traditional models. More specifically, we investigate differences between converging and diverging geometries, dynamic pressure and meniscus reconfiguration during pore-filling events, and the influence of inertia and pore size on imbibition dynamics and the occurrence of capillary barriers. Furthermore, we perform a detailed comparison between non-interacting and interacting BCTM and study the impact of the narrow contractions on imbibition dynamics and the trapping of the non-wetting phase. Obtained knowledge can be used to improve predictive models, which are broadly relevant considering the importance of spontaneous imbibition in many different natural and industrial processes.
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