Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2011, Special Issue (2011), Article ID 535484, 19 pages.

A Parallel Stochastic Framework for Reservoir Characterization and History Matching

Sunil G. Thomas, Hector M. Klie, Adolfo A. Rodriguez, and Mary F. Wheeler

Full-text: Open access

Abstract

The spatial distribution of parameters that characterize the subsurface is never known to any reasonable level of accuracy required to solve the governing PDEs of multiphase flow or species transport through porous media. This paper presents a numerically cheap, yet efficient, accurate and parallel framework to estimate reservoir parameters, for example, medium permeability, using sensor information from measurements of the solution variables such as phase pressures, phase concentrations, fluxes, and seismic and well log data. Numerical results are presented to demonstrate the method.

Article information

Source
J. Appl. Math., Volume 2011, Special Issue (2011), Article ID 535484, 19 pages.

Dates
First available in Project Euclid: 29 August 2011

Permanent link to this document
https://projecteuclid.org/euclid.jam/1314650241

Digital Object Identifier
doi:10.1155/2011/535484

Mathematical Reviews number (MathSciNet)
MR2784395

Zentralblatt MATH identifier
1381.76271

Citation

Thomas, Sunil G.; Klie, Hector M.; Rodriguez, Adolfo A.; Wheeler, Mary F. A Parallel Stochastic Framework for Reservoir Characterization and History Matching. J. Appl. Math. 2011, Special Issue (2011), Article ID 535484, 19 pages. doi:10.1155/2011/535484. https://projecteuclid.org/euclid.jam/1314650241


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