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Relative Permeability of Near-Miscible Fluids in Compositional Simulators

机译:组分模拟器中几乎混溶流体的相对渗透率

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Miscible gas injection is one of the most effective enhanced oil recovery techniques. There are several challenges in accurately modeling this process, which occurs in the near-miscible region. The adjustment of relative permeability for near-miscible processes is the main focus of this work. The dependence of relative permeability on phase identification can lead to significant complications while simulating near-miscible displacements. We present an analysis of how existing methods incorporate compositional dependence in relative permeability functions. The sensitivity of the different methods to the choice of reference points is presented with guidelines to limit the modification of the relative permeabilities to physically reasonable values. We distinguish between the two objectives of reflecting near-miscible behavior and ensuring smooth transitions across phase changes. We highlight an important link that combines the two objectives in a more general framework. We make use of Gibbs free energy as a compositional indicator in the generalized framework. The new approach was implemented in an automatic differentiation general purpose research simulator and tested on a set of near-miscible gas-injection problems. We show that including compositional dependencies in the relative permeability near the critical point impacts the simulation results with significant improvements in nonlinear convergence.
机译:混溶气体注入是最有效的强化采油技术之一。在此过程的精确建模中存在一些挑战,这种挑战发生​​在几乎混溶的区域。几乎可混溶过程的相对渗透率的调整是这项工作的主要重点。相对磁导率对相识别的依赖性在模拟近乎混溶的位移时会导致严重的复杂性。我们对现有方法如何在相对渗透率函数中纳入成分依赖性的分析。指南中介绍了不同方法对参考点选择的敏感性,以将相对磁导率的修改限制为物理上合理的值。我们区分了反映近乎混溶的行为和确保在相变之间实现平稳过渡的两个目标。我们强调了一个重要的链接,该链接在一个更通用的框架中结合了两个目标。在广义框架中,我们将吉布斯自由能用作组成指标。该新方法在自动差异通用研究模拟器中实现,并在一系列几乎混溶的气体注入问题上进行了测试。我们表明,在临界点附近的相对磁导率中包括成分相关性会影响仿真结果,并大大改善非线性收敛性。

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