co2 -泡沫驱局部平衡机制模拟

M. Almajid, Z. Alyousef, Othman Swaie
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引用次数: 0

摘要

多孔介质中非牛顿co2泡沫流动的力学建模是一项具有挑战性的任务,由于气体迁移率的突然变化,计算成本很高。本文的目的是提出一个局部平衡(LE) co2 -泡沫机理模型,以减轻部分计算成本,并在Matlab油藏模拟工具(MRST)中实现。将LE-foam模型交织到MRST中,用户可以快速制作原型并测试新想法和/或机械表达。我们使用SINTEF提供的开源工具MRST来实现我们的LE-foam模型。该模型利用MRST自动微分能力,在每次牛顿迭代时计算水相和气相的通量和饱和度。这些计算出的变量和通量然后被输入LE-foam模型,该模型估计每个网格块中的气泡密度(单位体积气体中的气泡数)。最后,利用每个网格块上估计的气泡密度来重新调整气相迁移率,直到达到收敛。与全物理模型不同,LE-foam模型没有为流动的气泡添加种群平衡方程。因此,所开发的LE-foam模型不会增加求解黑油方程组的计算成本,因为它使用每次牛顿迭代的信息来调整气体迁移率。我们的模型能够与文献中的实验瞬态泡沫驱结果相匹配。所选择的流动泡沫分数(Xf)公式在很大程度上决定了溶液的行为。需要为Xf选择合适的公式,以便我们的模拟更具预测性。本文中描述的工作可以帮助建立关于气泡产生和合并的各种想法的原型,以及在任何人口平衡模型中使用的任何其他相关性。所选择的模型可以用来预测泡沫流动和估计任何泡沫试点项目的经济价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local Equilibrium Mechanistic Simulation of CO2-Foam Flooding
Mechanistic modeling of the non-Newtonian CO2-foam flow in porous media is a challenging task that is computationally expensive due to abrupt gas mobility changes. The objective of this paper is to present a local equilibrium (LE) CO2-foam mechanistic model, which could alleviate some of the computational cost, and its implementation in the Matlab Reservoir Simulation Tool (MRST). Interweaving the LE-foam model into MRST enables users quick prototyping and testing of new ideas and/or mechanistic expressions. We use MRST, the open source tool available from SINTEF, to implement our LE-foam model. The model utilizes MRST automatic differentiation capability to compute the fluxes as well as the saturations of the aqueous and the gaseous phases at each Newton iteration. These computed variables and fluxes are then fed into the LE-foam model that estimates the bubble density (number of bubbles per unit volume of gas) in each grid block. Finally, the estimated bubble density at each grid block is used to readjust the gaseous phase mobility until convergence is achieved. Unlike the full-physics model, the LE-foam model does not add a population balance equation for the flowing bubbles. The developed LE-foam model, therefore, does not add much computational cost to solving a black oil system of equations as it uses the information from each Newton iteration to adjust the gas mobility. Our model is able to match experimental transient foam flooding results from the literature. The chosen flowing foam fraction (Xf) formula dictates to a large extent the behavior of the solution. An appropriate formula for Xf needs to be chosen such that our simulations are more predictive. The work described in this paper could help in prototyping various ideas about generation and coalescence of bubbles as well as any other correlations used in any population balance model. The chosen model can then be used to predict foam flow and estimate economic value of any foam pilot project.
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