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Upscaling permeability for three-dimensional fractured porous rocks with the multiple boundary method

机译:三维骨折多孔岩石具有多边界法的升高渗透性

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摘要

Upscaling permeability of grid blocks is crucial for groundwater models. A novel upscaling method for three-dimensional fractured porous rocks is presented. The objective of the study was to compare this method with the commonly used Oda upscaling method and the volume averaging method. First, the multiple boundary method and its computational framework were defined for three-dimensional stochastic fracture networks. Then, the different upscaling methods were compared for a set of rotated fractures, for tortuous fractures, and for two discrete fracture networks. The results computed by the multiple boundary method are comparable with those of the other two methods and fit best the analytical solution for a set of rotated fractures. The errors in flow rate of the equivalent fracture model decrease when using the multiple boundary method. Furthermore, the errors of the equivalent fracture models increase from well-connected fracture networks to poorly connected ones. Finally, the diagonal components of the equivalent permeability tensors tend to follow a normal or log-normal distribution for the well-connected fracture network model with infinite fracture size. By contrast, they exhibit a power-law distribution for the poorly connected fracture network with multiple scale fractures. The study demonstrates the accuracy and the flexibility of the multiple boundary upscaling concept. This makes it attractive for being incorporated into any existing flow-based upscaling procedures, which helps in reducing the uncertainty of groundwater models.
机译:电网块的升高渗透性对于地下水模型至关重要。提出了一种三维骨折多孔岩的新型升级方法。该研究的目的是将该方法与常用的ODA Upscaling方法和体积平均方法进行比较。首先,为三维随机裂缝网络定义了多边界方法及其计算框架。然后,将不同的升级方法与一组旋转骨折进行比较,用于曲折骨折,以及两个离散的裂缝网络。通过多边界方法计算的结果与其他两种方法的结果相当,并且适合一组旋转骨折的分析解决方案。使用多边界法时等效裂缝模型的流速的误差减小。此外,等效骨折模型的误差从连接良好的骨折网络增加到连接不良。最后,等效渗透性张力的对角线组分倾向于遵循具有无限裂缝尺寸的连接骨折网络模型的正常或对齐正态分布。相比之下,它们表现出具有多种尺度裂缝的较差的骨折网络的动力法分布。该研究展示了多边界升高概念的准确性和灵活性。这使得它具有掺入任何现有的基于流量的升高程序的吸引力,这有助于减少地下水模型的不确定性。

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