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Unconditionally stable, efficient and robust numerical simulation of isothermal compositional grading by gravity

机译:无条件稳定,高效且稳健的重力等温成分分级的数值模拟

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The gravitational force has been considered as one of the most important factors leading to composition variation of multicomponent chemical species mixture in many industrial processes and natural phenomena. This has been largely studied through experimental and numerical modeling, especially in chemical processes and petroleum reservoir engineering. The modeling and simulation of dynamical process of composition variation under gravity is fundamentally important to understand the evolutionary process of petroleum reservoir formation and initial state. This work presents the dynamical modeling of composition variation in the framework of the modified Helmholtz free energy coupling with the realistic equations of state. An efficient, easy-to-implement, thermodyanmically consistent, and robust numerical scheme is proposed for the dynamical model. This scheme is rigorously proved to be unconditionally stable. The implementation is straightforward based on the single-component system and it is not required to choose a reference species for multicomponent fluids. For the multicomponent system of huge number of species, the proposed scheme allows to numerically compute the system of partial differential equations in a random order, which is called an "unbiased scheme" in this work. The current scheme is computationally efficient and saves computer memory. Several numerical examples are designed to verify the properties of the scheme. (C) 2020 Elsevier B.V. All rights reserved.
机译:引力力被认为是导致许多工业过程和自然现象中多组分化学物质混合物组成变化的最重要因素之一。这主要通过实验和数值模型研究,特别是在化学过程和石油储层工程中研究。重力下组成变化动力学过程的建模和仿真从根本上重要的是了解石油储层形成和初始状态的进化过程。该工作介绍了改进的Helmholtz自由能量耦合的构成变化与状态的框架框架的动态建模。提出了一种有效,易于实现的,热致的热处理和鲁棒的数值方案,用于动态模型。该方案严格被证明是无条件稳定的。基于单组分系统,实现是简单的,并且不需要为多组分流体选择参考物质。对于大量物种的多组分系统,所提出的方案允许以随机顺序数值计算部分微分方程的系统,该方法在这项工作中被称为“无偏见的方案”。目前的方案是计算上高效的,并保存计算机内存。旨在验证该方案的属性。 (c)2020 Elsevier B.v.保留所有权利。

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