A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies: Research Articles

  • Authors:

  • Tahsin Kurc;Umit Catalyurek;Xi Zhang;Joel Saltz;Ryan Martino;Mary Wheeler;Małgorzata Peszyńska;Alan Sussman;Christian Hansen;Mrinal Sen;Roustam Seifoullaev;Paul Stoffa;Carlos Torres-Verdin;Manish Parashar

  • Affiliations:

  • Biomedical Informatics Department, The Ohio State University, 3184 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, U.S.A.;Biomedical Informatics Department, The Ohio State University, 3184 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, U.S.A.;Biomedical Informatics Department, The Ohio State University, 3184 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, U.S.A.;Biomedical Informatics Department, The Ohio State University, 3184 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, U.S.A.;Center for Subsurface Modeling, Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th Street, ACE 5.324, Campus Mail C0200, Austin, TX 78712, U.S.A ...;Center for Subsurface Modeling, Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th Street, ACE 5.324, Campus Mail C0200, Austin, TX 78712, U.S.A ...;Department of Mathematics, Kidder Hall 368, Oregon State University, Corvallis, OR 97331-4605, U.S.A.;Department of Computer Science, University of Maryland, A.V. Williams Building, College Park, MD 20742, U.S.A.;Department of Computer Science, University of Maryland, A.V. Williams Building, College Park, MD 20742, U.S.A.;Institute for Geophysics, The University of Texas at Austin, 4412 Spicewood Springs Road, Building 600, Austin, TX 78758-8500, U.S.A.;Institute for Geophysics, The University of Texas at Austin, 4412 Spicewood Springs Road, Building 600, Austin, TX 78758-8500, U.S.A.;Institute for Geophysics, The University of Texas at Austin, 4412 Spicewood Springs Road, Building 600, Austin, TX 78758-8500, U.S.A.;Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, 1 University Station, CO300, Austin, TX 78712-0228, U.S.A.;Department of Electrical and Computer Engineering, Rutgers, State University of New Jersey, 94 Brett Road, Piscataway, NJ 08854-8058, U.S.A.

  • Venue:
  • Concurrency and Computation: Practice & Experience - High-Performance Computing in Geosciences
  • Year:
  • 2005

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Abstract

The main goal of oil reservoir management is to provide more efficient, cost-effective and environmentally safer production of oil from reservoirs. Numerical simulations can aid in the design and implementation of optimal production strategies. However, traditional simulation-based approaches to optimizing reservoir management are rapidly overwhelmed by data volume when large numbers of realizations are sought using detailed geologic descriptions. In this paper, we describe a software architecture to facilitate large-scale simulation studies, involving ensembles of long-running simulations and analysis of vast volumes of output data. Copyright © 2005 John Wiley & Sons, Ltd.