A Parallel Stochastic Framework for Reservoir Characterization and History Matching

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

doi:10.1155/2011/535484

Title: A Parallel Stochastic Framework for Reservoir Characterization and History Matching

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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.

Authors:

Thomas, Sunil G. ^[1]; Klie, Hector M. ^[2]; Rodriguez, Adolfo A. ^[2]; Wheeler, Mary F. ^[3]

Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA, Chevron ETC, San Ramon, CA 94583, USA
Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA, ConocoPhillips, Houston, TX 77252, USA
Institute for Computational Engineering and Sciences, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA, Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, TX 78712, USA

Publication Date:: Sat Jan 01 00:00:00 EST 2011

Sponsoring Org.:: USDOE

OSTI Identifier:: 1235382

Grant/Contract Number:: FGO2-04ER25617; SC0001114

Resource Type:: Published Article

Journal Name:: Journal of Applied Mathematics

Additional Journal Information:: Journal Name: Journal of Applied Mathematics Journal Volume: 2011; Journal ID: ISSN 1110-757X

Publisher:: Hindawi Publishing Corporation

Country of Publication:: Country unknown/Code not available

Language:: English

Citation Formats


                    Thomas, Sunil G., Klie, Hector M., Rodriguez, Adolfo A., and Wheeler, Mary F. A Parallel Stochastic Framework for Reservoir Characterization and History Matching.  Country unknown/Code not available: N. p., 2011. 
Web.  doi:10.1155/2011/535484.

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                    Thomas, Sunil G., Klie, Hector M., Rodriguez, Adolfo A., & Wheeler, Mary F. A Parallel Stochastic Framework for Reservoir Characterization and History Matching.  Country unknown/Code not available.  https://doi.org/10.1155/2011/535484

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                    Thomas, Sunil G., Klie, Hector M., Rodriguez, Adolfo A., and Wheeler, Mary F. Sat .  
"A Parallel Stochastic Framework for Reservoir Characterization and History Matching".  Country unknown/Code not available.  https://doi.org/10.1155/2011/535484.

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@article{osti_1235382,

  title        = {A Parallel Stochastic Framework for Reservoir Characterization and History Matching},

  author       = {Thomas, Sunil G. and Klie, Hector M. and Rodriguez, Adolfo A. and Wheeler, Mary F.},

  abstractNote = {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.},

  doi          = {10.1155/2011/535484},

  journal      = {Journal of Applied Mathematics},

  number       = ,

  volume       = 2011,

  place        = {Country unknown/Code not available},

  year         = {Sat Jan 01 00:00:00 EST 2011},

  month        = {Sat Jan 01 00:00:00 EST 2011}

}

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