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Unconditionally Convergent Nonlinear Solver for Multiphase Flow in Porous Media under Viscous Force, Buoyancy, and Capillarity

机译:无条件地收敛非线性求解器,用于多孔介质在粘性力下的多相流动,浮力和毛细血管

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Numerical simulations of multiphase flow in porous media often face convergence difficulties in the nonlinear Newton solver, including erratic time stepping, large number of (Newton) iterations, and timestep cuts. Such convergence problems can lead to unacceptably large computational time and are often the main impediment to performing simulation studies of large scale problems, such as oil/gas recovery, groundwater remediation, and CO2 geological sequestration. We analyze the nonlinearity of the discrete transport (mass conservation) equation for immiscible, two-phase flow in porous media in the presence of viscous, buoyancy, and capillary forces. The critical features that cause oscillations and divergence of the Newton iterations are identified and located. Based on the analysis, we develop a nonlinear solver that guides Newton iterations safely and efficiently, such that convergence is achieved for arbitrary timestep sizes.
机译:多孔介质中的多相流量的数值模拟通常在非线性牛顿求解器中的收敛困难,包括不稳定的时间踩踏,大量(牛顿)迭代和时间切割。这种收敛问题可能导致不可接受的大型计算时间,并且通常是对大规模问题进行仿真研究的主要障碍,例如石油/气体回收,地下水修复和CO2地质隔离。我们在粘性,浮力和毛细力存在下分析离散传输(质量保护)方程的非线性,在多孔介质中在多孔介质中的存在。确定并定位了导致牛顿迭代的振荡和分歧的关键特征。在分析的基础上,我们开发了一个非线性求解器,可以安全有效地引导牛顿迭代,使得随着任意时间的尺寸实现了收敛。

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