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Green Image
Issue No. 06 - Nov.-Dec. (2014 vol. 16)
ISSN: 1521-9615
pp: 22-31
David Trebotich , Lawrence Berkeley National Laboratory
Mark F. Adams , Lawrence Berkeley National Laboratory
Sergi Molins , Lawrence Berkeley National Laboratory
Carl I. Steefel , Lawrence Berkeley National Laboratory
Chaopeng Shen , Penn State University
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.
GeometryHigh-resolution imaging, High performance computing, Mathematical model, Computational modeling, Media, Three-dimensional displays, Flow production systems, Scientific computing, Finite element methods,scientific computing, subsurface flow and transport, finite volume methods, algebraic multigrid, leadership computing, high-performance computing, HPC
David Trebotich, Mark F. Adams, Sergi Molins, Carl I. Steefel, Chaopeng Shen, "High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration", Computing in Science & Engineering, vol. 16, no. , pp. 22-31, Nov.-Dec. 2014, doi:10.1109/MCSE.2014.77
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