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EFFICIENT ENERGY-STABLE DYNAMIC MODELING OF COMPOSITIONAL GRADING

机译:高效的能量稳定动态建构分级

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Compositional grading in hydrocarbon reservoirs caused by the gravity force highly affects the design of production and development strategies. In this paper, we propose a novel mathematical modeling for compositional grading based on the laws of thermodynamics. Different from the traditional modeling, the proposed model can dynamically describe the evolutionary process of compositional grading, and it satisfies the energy dissipation property, which is a key feature that real systems obey. The model is formulated for the two scales of free spaces without solids (laboratory scale) and porous media (geophysical scale). For the numerical simulation, we propose a physically convex-concave splitting of the Helmholtz energy density, which leads to an energy-stable numerical method for compositional grading. Using the proposed methods, we simulate binary and tenary mixtures in the free spaces and porous media, and demonstrate that compared with the laboratory scale, the simulation at large geophysical scales has more advantages in simulating the features of compositional grading.
机译:由重力力引起的碳氢化合物储层中的组成分级从高度影响生产和开发策略的设计。本文提出了基于热力学规律的组合分级的新数学模型。与传统建模不同,所提出的模型可以动态描述组成分级的进化过程,满足能量耗散性能,这是真实系统服从的关键特征。该模型被配制为没有固体(实验室标度)和多孔介质(地球物理尺度)的两尺寸的自由空间。对于数值模拟,我们提出了亥姆霍兹能量密度的物理凸凹分裂,这导致能量稳定的组成分级数值方法。使用所提出的方法,我们在自由空间和多孔介质中模拟二元和租赁混合物,并证明与实验室规模相比,大型地球物理尺度的模拟在模拟组成分级的特征方面具有更多优势。

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