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Comprehensive Study of the Oda Corrected Permeability Upscaling Method

机译:综合研究渗透渗透升高法

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Choosing an appropriate technique for upscaling the permeability of the discreet fracture network (DFN) model is vital for maximizing recovery from naturally fractured reservoirs (NFR). Flow -based upscaling is accurate, yet it is computationally expensive. Analytical (i.e. Oda method) upscaling is computationally efficient; however, it is only accurate for well-connected fractures. The objective of this paper is to analyze the performance of the newly developed Oda corrected method which addresses issues associated with previous upscaling methods. This research was executed by using a commercial numerical simulator and by using data set from the Teapot Dome Reservoir. Furthermore, DFN modeling was used to generate different realizations for the fracture network. Consequently, sensitivity analysis was performed through a realisti c uncertainty quantification to generate a base case and 6 different DFN realizations. The main parameters used for this study are fracture length and intensity. Afterwards, the fracture permeability corresponding to each DFN realization was upscaled using the above-mentioned methods. Finally, differences between the upscaling methods were evaluated and analyzed using flow-based upscaling as the criterion. Indeed, the analysis revealed that the new Oda corrected method can calculate the equivalent permeability tensor with adequate accuracy. However, it overestimates the permeability when fracture networks are below the percolation threshold and/or when fractures length is large. Hence, this method is recommended for networks with moderate to high intensity. Furthermore, it has been deduced that fracture length has a great impact on the connectivity of fractures, albeit its effect on permeability is limited by fracturing density. Additionally, it has been found that the length of fractures has an immense impact on the anisotropy ratio and control the occurrence of water bypassing, which were not captured by the Oda method.
机译:选择适当的提高谨慎骨折网络(DFN)模型的渗透性的技术对于从天然裂缝储存器(NFR)最大化恢复至关重要。流动的Upscaling是准确的,但它是计算昂贵的。分析(即ODA方法)升级是计算效率的;但是,它只是连接良好的骨折。本文的目的是分析新开发的ODA校正方法的性能,该方法解决了与先前升级方法相关的问题。通过使用商业数值模拟器执行该研究,并使用从茶壶圆顶库中的数据集进行执行。此外,DFN建模用于生成裂缝网络的不同实现。因此,通过Realisti C不确定性量化进行敏感性分析以生成基本情况和6个不同的DFN实现。用于本研究的主要参数是断裂长度和强度。然后,使用上述方法升高对应于每个DFN实现的断裂渗透率。最后,使用基于流量的Upscaling作为标准,评估和分析升级方法之间的差异。实际上,分析表明,新的ODA校正方法可以用足够的精度计算等效的渗透性张量。然而,当骨折网络低于渗透阈值和/或裂缝长度大时,它估计渗透性。因此,建议使用中等至高强度的网络来推荐该方法。此外,已经推断出裂缝长度对裂缝的连通性产生很大影响,尽管其对渗透率的影响受到压裂密度的限制。另外,已经发现裂缝的长度对各向异性比产生了巨大的影响,并控制了不被ODA方法捕获的水旁路的发生。

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