Thermodynamically Consistent Modeling of Compressible Two-Phase Flow in Porous Media

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Junkai Wang, Xiaolin Zhou, Qiaolin He
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引用次数: 0

Abstract

In this paper, we develop a thermodynamically consistent model for compressible two-phase flow in porous media according to the Reynolds transport theorem and the second law of thermodynamics. The Helmholtz free energy and saturation free energy are introduced to characterize fluid compressibility and capillary pressure effects, respectively. Especially, we use molar density instead of pressure as one of the primary variables and derive a Darcy-type momentum equation with chemical potential gradient as the main driving force. Furthermore, the discrete total free energy dissipation and prior error estimates of the proposed numerical scheme are derived. Numerical results are presented to validate the accuracy, stability, and effectiveness of our proposed method.

多孔介质中可压缩两相流的热力学一致性建模
本文根据雷诺输运定理和热力学第二定律,建立了多孔介质中可压缩两相流的热力学一致性模型。引入亥姆霍兹自由能和饱和自由能分别表征流体的可压缩性和毛细压力效应。特别地,我们用摩尔密度代替压力作为主要变量之一,并推导出以化学势梯度为主要驱动力的darcy型动量方程。此外,还推导了该数值格式的离散总自由能耗散和先验误差估计。数值结果验证了所提方法的准确性、稳定性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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