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Applications of High-resolution Imaging and High-performance Parallel Computing in Unconventional Energy Recovery

机译:高分辨率成像和高性能并行计算在非传统能源恢复中的应用

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Two shale gas rock samples,from a Middle East shale gas play and the Eagle Ford shale play, respectively,were scanned using a nanometer-scale focused ion beam-scanning electron microscope (FIB-SEM).The geometrical properties were extracted and compared.The high-resolution image data were then processed and used as boundary conditions in the pore-scale GPU-accelerated lattice Boltzmann simulator(GALBS)for permeability simulation.The GALBS is based on the lattice Boltzmann(LB) method and optimized by graphics processing unit(GPU)parallel computing.Image processing showed that although the intrakerogen pores in the Eagle Ford sample had larger pore volumes compared to those in the Middle East sample,their morphologies were more laminar,which leads to higher friction to fluid flow and consequently gives rise to lower macroscopic permeability.GALBS simulations confirmed that the permeability was at the nanodarcy(nd)level in the Eagle Ford sample,while it was at the microdarcy (d)level in the Middle East sample.Furthermore,anisotropy in the permeability tensor was observed in both shale samples.The computing speed of the GALBS is more than 1,000 times faster than the serial code and more than 10 times faster than the parallel code run on a standalone CPU,which suggests that many more samples can be analyzed given the same processing time.The combination of high-resolution imaging methods and high-performance parallel computing is a powerful tool for studying microscopic processes and upscaling.It provides for a more accurate estimation of the total stored gas and is helpful in the optimization of hydraulic fracturing treatments,which are aimed at connecting as many isolated intrakerogen pores as possible.The method presented in this study enables more accurate characterization of microscopic geometries and faster upscale transport properties,illustrating that unconventional energy recovery requires unconventional solutions.
机译:使用纳米刻度聚焦离子束扫描电子显微镜(FIB-SEM)分别从中东页岩气相和Eagle Ford Shale Play的两个页岩气岩样品分别扫描。提取并比较了几何特性。然后将高分辨率图像数据处理并用作孔径GPU加速的格子Boltzmann模拟器(GALBS)中的边界条件,用于渗透性模拟。GALBS基于格子Boltzmann(LB)方法,并通过图形处理单元进行优化(GPU)并行处理computing.Image显示,虽然intrakerogen孔鹰福特样品中有较大的孔隙体积相比,这些中东样品中,它们的形态更层状的,这导致更高的摩擦对流体流,并因此产生降低宏观permeability.GALBS模拟证实,渗透率为在Eagle福特样品中的nanodarcy(ND)的水平,而这是在第该微达西(d)水平E中东样本。在页面样本中观察到渗透性张量的各向异性。GALBS的计算速度比串行代码快于序列代码,比独立CPU上的并行代码快10倍超过10倍以上这表明可以在相同的处理时间上分析更多的样本。高分辨率成像方法和高性能并行计算的组合是用于研究微观过程和UPScaling的强大工具。它提供了更准确的估计总储气的气体和有助于优化液压压裂处理,其旨在尽可能多地连接到许多分离的Intraishoges孔。本研究中呈现的方法能够更准确地表征微观几何形状和更快的高档运输性能,说明非常规的能量恢复需要非传统的解决方案。

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