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Improved Upscaling Of Reservoir Flow Using Combination Of Dual Mesh Method And Vorticity-based Gridding

机译:双重网格法与涡度网格相结合的改进储层流量放大算法

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摘要

A novel technique for upscaling of detailed geological reservoir descriptions is presented. The technique aims at reducing both numerical dispersion and homogenization error generated due to incorporating a coarse computational grid and assigning effective permeability to coarse-grid blocks, respectively. In particular, we consider implicit-pressure explicit-saturation scheme where homogenization error impacts the accuracy of the coarse-grid solution of the pressure equation. To reduce the homogenization error, we employ the new vorticity-based gridding that generates a non-uniform coarse grid with high resolution at high vorticity zones. In addition, to control numerical dispersion, we use dual mesh method (DMM) which uses different grids to solve pressure and saturation equations. The coarse grid generated from vorticity is used for computation of pressure, and the reference fine grid is used for updating saturation explicitly. The strongest point of the method is that dual mesh method has been incorporated onto non-uniform grid structure. This combination removes the need to solve the full fine grid for two-phase flow modeling, resulting in a less computationally demanding and more accurate upscaling technique. To evaluate the method, we run two-phase simulation using different 2D test cases. Our results indicate that the non-uniform DMM is more accurate than the uniform DMM due to using vorticity-based grids. The speedup achieved in the computation is significant depending on the complexity of model and degree of upscaling.
机译:提出了一种用于放大详细地质储层描述的新技术。该技术旨在减少由于合并了粗略的计算网格并将有效渗透率分别分配给粗网格块而产生的数值离散和均化误差。特别地,我们考虑隐式压力显式饱和方案,其中均质化误差影响压力方程的粗网格解的准确性。为了减少均化误差,我们采用了新的基于涡度的网格划分方法,该网格生成了在高涡度区域具有高分辨率的非均匀粗网格。此外,为了控制数值离散,我们使用双重网格方法(DMM),该方法使用不同的网格来求解压力和饱和度方程。由涡度产生的粗网格用于计算压力,参考细网格用于显式更新饱和度。该方法的最强之处在于,已将双重网格方法合并到非均匀网格结构中。这种结合消除了为两相流建模求解完整的精细网格的需要,从而减少了计算需求,并提供了更精确的放大技术。为了评估该方法,我们使用不同的2D测试用例运行两阶段仿真。我们的结果表明,由于使用基于涡度的网格,非均匀DMM比均匀DMM更准确。根据模型的复杂程度和升级程度,计算中获得的加速效果非常重要。

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