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Reservoir Flow Simulation Using Combined Vorticity-Based Gridding and Multi-Scale Upscaling

机译:基于涡流的网格网和多尺度Umpaling的储层流模拟

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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 (IMPES) scheme where homogenization error impacts the accuracy of the coarse grid solution of thepressure equation. To reduce the homogenization error, weemploy 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 olve 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 most strong point of the method is that dual mesh method has been in corporated 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 upscalingtechnique. 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 speed-up achieved in the computation is significant depending on the complexity of model and degree of upscaling.
机译:提出了一种用于升高详细地质储层描述的新技术。该技术旨在减少由于结合粗略计算网格并分别对粗网块分配有效渗透性而产生的数值分散和均质化误差。特别地,我们考虑隐式压力明确饱和度(IMP)方案,其中均化误差会影响压抑方程的粗网溶液的精度。为了减少均质错误,播放基于仿真的网格,在高涡旋区域处以高分辨率生成非均匀粗网格。此外,为了控制数值分散,我们使用双网格方法(DMM),该方法使用不同的网格到OLVE压力和饱和方程。从涡度产生的粗略网格用于计算压力,参考细网用于明确更新饱和度。该方法的最强烈点是双网格方法已在公司上的非均匀网格结构上。这种组合删除了解决全部细网格以进行两相流模型,导致较少的计算要求苛刻,更准确的UpscalingTechnique。为了评估方法,我们使用不同的2D测试用例运行两相模拟。我们的结果表明,由于使用基于涡流的网格,非均匀DMM比均匀DMM更精确。根据模型的复杂性和升高程度,计算中实现的速度很大。

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