A Multi-Level Non-Linear Solver for Complex Well Modelling

Zhen Chen, T. Shaalan, A. Dogru
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引用次数: 0

Abstract

Complex well model has proved to be important for capturing the full physics in wellbore, including pressure losses, multiphase effects, and advanced device modelling. Numerical instability may be observed especially when the well is produced at a low rate from a highly productive multi-phase zone. In this paper, a new multi-level nonlinear solver is presented in a state-of-the-art parallel complex wellbore model for addressing some difficult numerical convergence problems. A sequential two-level nonlinear solver is implemented, where the inner solver is used to address the convergence in the constraint rate equation, and then the entire complex network is solved using an outer solver. Finally, the wellbore model is coupled with the grid solution explicitly, sequentially, or implicitly. This novel formulation is robust enough to greatly improve the numerical stability due to the lagging in the computation of mixture density in wellbore constraint rate equation and the variation in the fluid composition over Newton iterations in network nonlinear solver. The numerical challenge in the complex well model and the improvement of performance with the new nonlinear solver are demonstrated using reservoir simulation. Models with complex wells running into convergence problems are constructed and simulated. With this novel nonlinear solver, simulation gives much more reliable results on well productions without numerical oscillations and computational cost is much less.
复杂井模型的多级非线性求解器
事实证明,复杂的井模型对于捕获井筒中的全部物理特性非常重要,包括压力损失、多相效应和先进的设备建模。数值不稳定性可能会被观察到,特别是当油井从高产多相区以低速率开采时。本文提出了一种新的多层非线性求解器,用于解决复杂平行井眼模型的数值收敛问题。实现了一种连续的两级非线性求解器,其中内部求解器用于求解约束速率方程的收敛性,然后使用外部求解器求解整个复杂网络。最后,井眼模型与网格解显式、顺序或隐式耦合。该公式具有较强的鲁棒性,克服了井眼约束速率方程中混合密度计算的滞后和网络非线性求解器牛顿迭代过程中流体成分的变化,极大地提高了数值稳定性。通过油藏模拟验证了复杂井模型的数值挑战和新非线性求解器对性能的改善。构造并模拟了遇到收敛问题的复杂井模型。利用这种新颖的非线性求解器,模拟结果更加可靠,没有数值振荡,计算成本也大大降低。
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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