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High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration

机译:与碳固存相关的孔尺度反应性传输过程的高分辨率模拟

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摘要

New investigative tools, combined with experiments and computational methods, are being developed to build a next-generation understanding of molecular-to-pore-scale processes in fluid-rock systems and to demonstrate the ability to control critical aspects of flow and transport in porous rock media, in particular, as applied to geologic sequestration of CO2. Of scientific interest is to establish the rules governing emergent behavior at the porous-continuum macroscale under far from equilibrium conditions by carefully understanding the behavior at the underlying pore microscale. To this end, the authors present a direct numerical simulation modeling capability that can resolve flow and transport processes in geometric features obtained from the image data of realistic pore space at unprecedented scale and resolution. Here, they focus on scaling a new algorithmic approach based on embedded boundary, finite-volume methods and algebraic multigrid. They demonstrate the scalability of this new capability, known as Chombo-Crunch, to more than 100,000 processor cores and show results from pore-scale flow and transport in the realistic pore space obtained from image data.
机译:正在开发新的研究工具,并结合实验和计算方法,以建立对流体-岩石系统中分子到孔尺度过程的下一代理解,并展示出控制多孔介质中流动和运输的关键方面的能力岩石介质,特别是用于地质封存CO2的介质。具有科学意义的是,通过仔细地了解潜在的孔微观尺度的行为,建立在远离平衡条件的情况下控制连续多孔宏观尺度上的新兴行为的规则。为此,作者提出了直接的数值模拟建模能力,可以以前所未有的规模和分辨率从实际孔隙空间的图像数据中解析出几何特征中的流动和传输过程。在这里,他们专注于扩展基于嵌入式边界,有限体积方法和代数多重网格的新算法。他们展示了这种称为Chombo-Crunch的新功能的可扩展性,可扩展到100,000个以上的处理器内核,并显示了从图像数据获得的实际孔隙空间中的孔隙尺度流动和传输结果。

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