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

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:
 [1];  [2];  [2];  [3]
  1. Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA, Chevron ETC, San Ramon, CA 94583, USA
  2. Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA, ConocoPhillips, Houston, TX 77252, USA
  3. 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:
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.
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. doi:10.1155/2011/535484.
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. doi:10.1155/2011/535484.
@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 = {2011},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1155/2011/535484

Citation Metrics:
Cited by: 1 work
Citation information provided by
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