论文标题
GPU上改进的多个阶段预处理，用于组成储层模拟
An Improved Multi-Stage Preconditioner on GPUs for Compositional Reservoir Simulation
论文作者
论文摘要
组成模型通常用于描述石油行业中的多组分多型多孔介质流。具有强稳定性和时间步长的较弱约束的完全隐式方法通常用于主流商业储层模拟器中。在本文中，我们为完全隐式的组成流仿真开发了有效的多阶段预处理。该方法采用自适应设置阶段来提高GPU的平行效率。此外，基于邻接矩阵的多色高斯 - 西德尔算法在压力部分的代数多机方法中应用。数值结果表明，所提出的算法实现了良好的并行加速，而产生与相应的顺序版本相同的收敛行为。
The compositional model is often used to describe multicomponent multiphase porous media flows in the petroleum industry. The fully implicit method with strong stability and weak constraints on time-step sizes is commonly used in the mainstream commercial reservoir simulators. In this paper, we develop an efficient multi-stage preconditioner for the fully implicit compositional flow simulation. The method employs an adaptive setup phase to improve the parallel efficiency on GPUs. Furthermore, a multi-color Gauss-Seidel algorithm based on the adjacency matrix is applied in the algebraic multigrid methods for the pressure part. Numerical results demonstrate that the proposed algorithm achieves good parallel speedup while yields the same convergence behavior as the corresponding sequential version.
