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Nonlinear solver for three-phase transport problems based on approximate trust regions

机译:基于近似信赖域的三相输运非线性求解器

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Implicit transport solvers used in reservoir simulation can take longer time steps than explicit solvers, but for long time steps, the commonly used Newton-Raphson's method will often fail to converge. The convergence issues may manifest themselves as oscillating residuals even though the implicit discretization itself is stable. This behavior occurs because the fractional flow-type flux functions often change between convex and concave during long time steps, resulting in multiple contraction regions for the Newton-Raphson solver. The common strategy to overcome this is to set limits on the saturation changes during the nonlinear iteration, but such a limit has to be determined on a case by case basis, excess iterations may be required, and practical convergence is not guaranteed for a given problem. Previous work on this problem by multiple authors has resulted in solvers based on trust regions, where unconditional convergence can be obtained for incompressible two-phase flow provided a priori analytical knowledge of the flux function exists. The goal of our work is to extend this methodology to a solver where inflection points demarking the different contraction regions do not need to be explicitly known. Instead, these values are estimated during the solution process, giving improved convergence by a local computation for each interface in the simulation model. By systematically reducing updates over regions known to produce convergence issues, it is possible to greatly reduce the computational expense, making the same formulation suitable for an arbitrary number of components. We present a series of numerical results, including arbitrary time-step lengths for two and three-phase gravity segregation, as well as three-dimensional gas and water injection problems with wells and a mixture of both viscous and gravity-dominated flow regimes. The test cases are a systematic validation on a wide variety of both analytical and tabulated relative permeability curves.
机译:与显式求解器相比,油藏模拟中使用的隐式输运求解器可能需要更长的时间步长,但是对于较长的步长,常用的牛顿-拉夫森方法通常将无法收敛。即使隐式离散化本身是稳定的,收敛问题也可能表现为振荡残差。出现这种现象的原因是,分数流动类型的通量函数通常会在较长的时间步长之间在凸凹之间变化,从而导致Newton-Raphson求解器出现多个收缩区域。解决此问题的常用策略是在非线性迭代过程中设置饱和度变化的限制,但必须根据具体情况确定此限制,可能需要进行过多的迭代,并且不能保证给定问题的实际收敛性。多位作者对此问题的先前工作导致了基于信任区域的求解器,只要存在通量函数的先验分析知识,就可以针对不可压缩的两相流获得无条件收敛。我们工作的目标是将该方法扩展到不需要明确知道表示不同收缩区域的拐点的求解器。取而代之的是,这些值是在求解过程中估计的,通过对仿真模型中每个接口的局部计算,可以提高收敛性。通过系统地减少已知会产生收敛问题的区域的更新,可以大大减少计算费用,从而使相同的公式适用于任意数量的组件。我们提供了一系列数值结果,包括用于两相和三相重力分离的任意时间步长,以及井的三维注气和注水问题以及粘性和重力为主的流动形式的混合。测试案例是对各种分析和列表相对渗透率曲线的系统验证。

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