Efficient Localized Nonlinear Solution Strategies for Unconventional-Reservoir Simulation with Complex Fractures

Jiamin Jiang
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Abstract

It is very challenging to simulate unconventional reservoirs efficiently and accurately. Transient flow can last for a long time and sharp solution (pressure, saturation, compositions) gradients are induced because of the severe permeability contrast between fracture and matrix. Although high-resolution models for well and fracture are required to achieve adequate resolution, they are computationally too demanding for practical field models with many stages of hydraulic fracture. The paper aims to innovate localization strategies that take advantage of locality on timestep and Newton iteration levels. The strategies readily accommodate to complicated flow mechanisms and multiscale fracture networks in unconventional reservoirs. Large simulation speed-up can be obtained if performing localized computations only for the solution regions that will change. We develop an a-priori method to exploit the locality, based on the diffusive character of the Newton updates of pressure. The method makes adequate estimate of the active computational gridblock for the next iterate. The active gridblock set marks the ones need to be solved, and then the solution to local linear system is accordingly computed. Fully Implicit Scheme is used for time discretization. We study several challenging multi-phase and compositional model cases with explicit fractures. The test results demonstrate that significant solution locality of variables exist on timestep and iteration levels. A nonlinear solution update usually has sparsity, and the nonlinear convergence is restricted by a limited fraction of the simulation model. Through aggressive localization, the proposed methods can prevent overly conservative estimate, and thus achieve significant computational speedup. In comparison to a standard Newton method, the novel solver techniques achieve greatly improved solving efficiency. Furthermore, the Newton convergence exhibits no degradation, and there is no impact on the solution accuracy. Previous works in the literature largely relate to the meshing aspect that accommodates to horizontal wells and hydraulic fractures. We instead develop new nonlinear strategies to perform localization. In particular, the adaptive DD method produces proper domain partitions according to the fluid flow and nonlinear updates. This results in an effective strategy that maintains solution accuracy and convergence behavior.
复杂裂缝非常规油藏模拟的高效局部非线性求解策略
高效、准确地模拟非常规油藏是一项具有挑战性的工作。由于裂缝和基质之间存在严重的渗透率差异,导致瞬态流动可以持续很长时间,并产生尖锐的溶液(压力、饱和度、成分)梯度。虽然需要高分辨率的井和裂缝模型来获得足够的分辨率,但对于具有许多水力压裂阶段的实际现场模型来说,它们的计算要求太高。本文旨在创新利用时间步和牛顿迭代层次的局部性的定位策略。该策略易于适应非常规油藏复杂的流动机制和多尺度裂缝网络。如果只对将发生变化的解区域进行局部计算,可以获得较大的模拟加速。基于压力牛顿更新的扩散特性,提出了一种利用局部性的先验方法。该方法对下一次迭代的活动计算网格块进行了充分的估计。活动网格块集标记需要求解的网格块,然后计算局部线性系统的解。时间离散采用全隐式格式。我们研究了几个具有挑战性的具有明显裂缝的多相和成分模型案例。测试结果表明,在时间步长和迭代水平上,变量存在显著的解局部性。非线性解更新通常具有稀疏性,非线性收敛受到仿真模型有限部分的限制。通过主动定位,该方法可以避免过于保守的估计,从而实现显著的计算速度提升。与标准牛顿法相比,该算法大大提高了求解效率。此外,牛顿收敛性没有下降,对解的精度没有影响。以往的文献工作主要涉及水平井和水力裂缝的网格划分方面。相反,我们开发了新的非线性策略来执行定位。特别地,自适应DD方法根据流体流动和非线性更新产生适当的区域划分。这就产生了一种有效的策略,可以保持解的准确性和收敛性。
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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