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Application of diffuse source functions for improved flow upscaling

机译:应用扩散源功能改善流量放大

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A novel upscaling approach was previously introduced using pressure transient concepts which allowed us to distinguish between well-connected, weakly connected, and disconnected pay in the local upscaling region. The current work applies these same concepts to benchmark the upscaling formulation against existing upscaling techniques to test the impact of localization. The local flow field generated for transmissibility calculation is based on transients approaching pseudo steady state in a sub volume as opposed to steady state or pseudo steady state in the entire volume. Identification of well-connected sub volume allows us to assess the impact of localization and degree of local connectivity on overall coarse simulation performance. The upscaling step draws upon its similarity to pressure transient well testing concepts to set up local flow problems and obtain coarse transmissibilities. The concept of diffusive time of flight together with diffuse source functions allows us to assess the error in localization for a particular local flow problem. A large error in localization may require adaptive grid resolution as a possible solution by separating the well-connected and weakly connected pay. The transient methodology has also allowed us to generalize the flow diagnostics designed for incompressible flow to compressible flow. The diagnostics are used to evaluate the quality of coarsening and upscaling.
机译:以前使用压力瞬变概念引入了一种新颖的升级方法,该方法使我们能够在本地升级区域中区分连接良好,连接薄弱和断开的薪酬。当前的工作将这些相同的概念应用于现有升级技术的基准,以测试升级公式,以测试本地化的影响。为传输率计算而生成的局部流场是基于瞬变接近子体积中的伪稳态,而不是整个体积中的稳态或伪稳态。确定良好连接的子体积使我们能够评估本地化和本地连接程度对总体粗略仿真性能的影响。升级步骤利用了其与压力瞬变井测试概念的相似性,从而设置了局部流动问题并获得了粗略的透射率。扩散飞行时间的概念与扩散源函数一起使我们能够评估特定局部流量问题的定位误差。定位中的大错误可能需要通过分离良好连接和弱连接的薪酬来将自适应网格分辨率作为一种可能的解决方案。瞬态方法还使我们能够将针对不可压缩流设计的流量诊断泛化为可压缩流。诊断程序用于评估粗化和放大的质量。

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