iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems
Abstract
We report iTOUGH2 is a simulation-optimization framework for the TOUGH suite of nonisothermal multiphase flow models and related simulators of geophysical, geochemical, and geomechanical processes. After appropriate parameterization of subsurface structures and their properties, iTOUGH2 runs simulations for multiple parameter sets and analyzes the resulting output for parameter estimation through automatic model calibration, local and global sensitivity analyses, data-worth analyses, and uncertainty propagation analyses. Development of iTOUGH2 is driven by scientific challenges and user needs, with new capabilities continually added to both the forward simulator and the optimization framework. This paper provides a summary description of methods and features implemented in iTOUGH2, and discusses the usefulness and limitations of an integrated simulation-optimization workflow in support of the characterization and analysis of complex multiphysics subsurface systems.
- Authors:
-
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1461120
- Alternate Identifier(s):
- OSTI ID: 1550705
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Computers and Geosciences
- Additional Journal Information:
- Journal Volume: 108; Journal ID: ISSN 0098-3004
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; numerical simulation; inverse modeling; parameter estimation; uncertainty quantification; sensitivity analysis; data-worth analysis
Citation Formats
Finsterle, S., Commer, M., Edmiston, J. K., Jung, Y., Kowalsky, M. B., Pau, G. S. H., Wainwright, H. M., and Zhang, Y. iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems. United States: N. p., 2016.
Web. doi:10.1016/j.cageo.2016.09.005.
Finsterle, S., Commer, M., Edmiston, J. K., Jung, Y., Kowalsky, M. B., Pau, G. S. H., Wainwright, H. M., & Zhang, Y. iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems. United States. https://doi.org/10.1016/j.cageo.2016.09.005
Finsterle, S., Commer, M., Edmiston, J. K., Jung, Y., Kowalsky, M. B., Pau, G. S. H., Wainwright, H. M., and Zhang, Y. Tue .
"iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems". United States. https://doi.org/10.1016/j.cageo.2016.09.005. https://www.osti.gov/servlets/purl/1461120.
@article{osti_1461120,
title = {iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems},
author = {Finsterle, S. and Commer, M. and Edmiston, J. K. and Jung, Y. and Kowalsky, M. B. and Pau, G. S. H. and Wainwright, H. M. and Zhang, Y.},
abstractNote = {We report iTOUGH2 is a simulation-optimization framework for the TOUGH suite of nonisothermal multiphase flow models and related simulators of geophysical, geochemical, and geomechanical processes. After appropriate parameterization of subsurface structures and their properties, iTOUGH2 runs simulations for multiple parameter sets and analyzes the resulting output for parameter estimation through automatic model calibration, local and global sensitivity analyses, data-worth analyses, and uncertainty propagation analyses. Development of iTOUGH2 is driven by scientific challenges and user needs, with new capabilities continually added to both the forward simulator and the optimization framework. This paper provides a summary description of methods and features implemented in iTOUGH2, and discusses the usefulness and limitations of an integrated simulation-optimization workflow in support of the characterization and analysis of complex multiphysics subsurface systems.},
doi = {10.1016/j.cageo.2016.09.005},
journal = {Computers and Geosciences},
number = ,
volume = 108,
place = {United States},
year = {Tue Sep 13 00:00:00 EDT 2016},
month = {Tue Sep 13 00:00:00 EDT 2016}
}
Web of Science
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