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首页> 外文期刊>International Journal of Multiphase Flow >Higher-order black-oil and compositional modeling of multiphase compressible flow in porous media
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Higher-order black-oil and compositional modeling of multiphase compressible flow in porous media

机译:多孔介质中多相可压缩流的高阶黑油和组成模型

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摘要

We present continuum-scale modeling of multiphase compressible flow in porous media with applications to hydrocarbon reservoir engineering. A new black-oil model is developed and compared with a fully compositional simulator to model the thermodynamic phase behavior. In the context of black-oil modeling, where components are lumped into a gas and liquid pseudocomponent with only the gas transferring between liquid and gas phases, we allow for a variable bubble point pressure (e.g., when gas enters an undersaturated zone). Traditionally, a primary variable switching strategy has been used, which is known to be prone to convergence and phase identification issues. Instead, we adopt an overall molar composition-based framework that can robustly model phase appearance or disappearance. Phase properties across a broad range of pressures for different black-oil compositions are constructed from compositional phase split calculations to correctly model the phase transition. Mass transport is updated explicitly by a locally mass conserving multilinear discontinuous Galerkin method. Globally continuous pressure and velocity fields are obtained through an implicit mixed hybrid FE scheme. The robustness and accuracy of our FE simulator are demonstrated in several problems, where we have attained considerable speed-up and maintained the accuracy with the new black-oil model. (C) 2018 Elsevier Ltd. All rights reserved.
机译:我们在多孔介质中呈现多相可压缩流量的连续模型模型,其应用于碳氢化合物储层工程。开发了一种新的黑油模型,并与完全组成模拟器进行比较,以模拟热力学相位行为。在黑油建模的背景下,在液相和气体相之间仅通过在液态和气相之间传递到气体和液体伪组分的情况下,我们允许可变气泡点压(例如,当气体进入缺水区时)。传统上,已经使用了主要可变切换策略,这已知易于收敛和相位识别问题。相反,我们采用了一种基于整体的基于摩尔组成的框架,可以鲁布布利地模拟相位或消失。在不同黑色油组合物的宽范围压力范围内的相质由组成相分裂计算构成,以正确模拟相转变。通过局部质量保守多线性不连续的Galerkin方法明确更新大规模运输。通过隐式混合混合Fe方案获得全局连续的压力和速度场。我们的FE模拟器的稳健性和准确性在几个问题中展示,我们已经实现了相当大的加速,并保持了新的黑油模型的准确性。 (c)2018年elestvier有限公司保留所有权利。

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