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A new technique for evaluating coarse grids based on flow thresholding

机译:基于流量阈值的粗网格评估新技术

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摘要

Current upgridding techniques usually require the scale-up factor to be known a priori and,in practice,the scale-up factor is selected rather subjectively.The main consideration is that the scale-up factor should be large enough for practical use and not so large that the results are likely to be very inaccurate.A more objective approach to selecting the scale-up factor is desirable.This paper proposes a novel approach to determine a more appropriate scale-up factor for a coarse model.The new approach is based on an analysis of the flows in the fine-scale model.The regions that make a significant contribution to the flow are identified using a thresholding technique.A range of scale-up factors is tested and high flow regions are identified in each case.The percentage overlap(denoted by R_o)of the high flow regions in the coarse and fine grids is then calculated.The value of R_o can be used as a predictor of the accuracy of upscaling and the appropriate coarse grid size can thus be evaluated.When the upscaling is performed using a global method,there is litde extra computational cost.This method is suitable for use in multi-phase flow simulations of 3D heterogeneous reservoir models.The technique is demonstrated using a simulation of a waterflood in a highly heterogeneous 2D model.
机译:当前的升级技术通常要求先知道放大因子,而在实践中,放大因子的选择是比较主观的。主要考虑因素是放大因子应足够大以用于实际使用,而并非如此。较大的结果可能很不准确。需要一种更客观的选择放大因子的方法。本文提出了一种新颖的方法来为粗略模型确定更合适的放大因子。在分析细尺度模型中的流量时,使用阈值技术确定对流量有重大贡献的区域,并测试了一系列放大因子并确定了每种情况下的高流量区域。然后计算粗网格和细网格中高流量区域的重叠百分比(用R_o表示).R_o的值可以用作预测放大精度的指标,因此可以估算出适当的粗网格尺寸当使用全局方法进行放大时,会产生相当大的计算成本。该方法适用于3D非均质油藏模型的多相流模拟。该技术在高度注水的情况下通过模拟进行了演示异构2D模型。

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