DocumentCode
64988
Title
High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration
Author
Trebotich, David ; Adams, Mark F. ; Molins, Sergi ; Steefel, Carl I. ; Chaopeng Shen
Author_Institution
Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
Volume
16
Issue
6
fYear
2014
fDate
Nov.-Dec. 2014
Firstpage
22
Lastpage
31
Abstract
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.
Keywords
carbon capture and storage; computational fluid dynamics; finite volume methods; mechanical engineering computing; numerical analysis; algebraic multigrid; carbon sequestration; embedded boundary; finite-volume methods; fluid-rock systems; geologic sequestration; high-resolution simulation; pore-scale flow; pore-scale reactive transport processes; porous rock media; porous-continuum macroscale; Computational modeling; Finite element methods; Flow production systems; GeometryHigh-resolution imaging; High performance computing; Mathematical model; Media; Scientific computing; Three-dimensional displays; HPC; algebraic multigrid; finite volume methods; high-performance computing; leadership computing; scientific computing; subsurface flow and transport;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2014.77
Filename
6970989
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