Smooth Formulation for Three-Phase Black-Oil Simulation with Superior Nonlinear Convergence

Jiamin Jiang, X. Wen
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Abstract

Black-oil simulations with phase changes are challenging, because of the complex interactions between the different components and the equilibrium behavior of the phases. The common method for solving this type of nonlinear problem is to use a fully-implicit approach. However, the conventional black-oil model can lead to difficulties with converging using Newton's method. Discontinuities in discrete system can occur when a phase transition happens, which can lead to oscillations or even failure of the Newton iterations. The goal is to design a smoothing formulation that eliminates any sudden changes in properties or discontinuities that occur during phase transitions. We first employ a compositional formulation based on K-values to describe the standard black-oil model. Next, the coupled system is reformulated such that the discontinuities are carried over to the phase equilibrium model. In this manner, a single, succinct non-smooth equation is obtained, which allows for deriving a smoothing approximation. A mixed complementarity problem (MCP) for phase-equilibrium in the area of chemical process modeling served as the foundation for the reformulation. The new formulation is non-intrusive and simple to implement, requiring minor changes to current black-oil simulator frameworks. We analyze and demonstrate that phase changes lead to the changes of fluid-properties and discrete system, under the conventional black-oil formulation. By comparison, the newly proposed formulation uses a smoothing parameter to ensure smooth transitions of variables between the phase regimes. It also generates unique solutions that are valid for all three phases. Several complex heterogeneous problems are tested. The conventional black-oil model experiences many time-step cuttings and wasting nonlinear iterates. On the contrary, the smoothing model exhibits excellent convergence behaviors. Overall, the new formulation addresses the issues with convergence caused by phase-changes, while barely affecting solution results.
具有优异非线性收敛性的三相黑油模拟光滑公式
由于不同组分之间复杂的相互作用和相的平衡行为,具有相变的黑油模拟具有挑战性。解决这类非线性问题的常用方法是使用全隐式方法。然而,传统的黑油模型在牛顿方法的收敛上存在困难。离散系统在发生相变时可能出现不连续,从而导致牛顿迭代的振荡甚至失效。目标是设计一种平滑公式,消除在相变期间发生的任何属性的突然变化或不连续性。我们首先采用基于k值的成分公式来描述标准的黑油模型。接下来,耦合系统被重新表述,使得不连续被转移到相平衡模型。以这种方式,得到一个单一的、简洁的非光滑方程,它允许推导一个光滑近似。化学过程建模领域的相平衡混合互补问题(MCP)是该公式的基础。新的配方是非侵入式的,易于实施,只需要对当前的黑油模拟器框架进行微小的改变。分析和论证了在传统黑油配方下,相变导致流体性质和离散系统的变化。通过比较,新提出的公式使用平滑参数来确保变量在相区之间的平滑过渡。它还生成了对所有三个阶段都有效的唯一解。对几个复杂的异构问题进行了测试。传统的黑油模型经历了多次时间步切削和非线性迭代浪费。相反,平滑模型表现出优异的收敛性。总的来说,新公式解决了相变引起的收敛问题,同时几乎不影响求解结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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