Abstract
iTOUGH2 (inverse TOUGH2) provides inverse modeling capabilities for TOUGH2, a simulator for multi-dimensional, multi-phase, multi-component, non-isothermal flow and transport in fractured porous media.
iTOUGH2 performs sensitivity analyses, data-worth analyses, parameter estimation, and uncertainty propagation analyses in geosciences and reservoir engineering and other application areas.
iTOUGH2 supports a number of different combinations of fluids and components (equation-of-state (EOS) modules). In addition, the optimization routines implemented in iTOUGH2 can also be used for sensitivity analysis, automatic model calibration, and uncertainty quantification of any external code that uses text-based input and output files using the PEST protocol.
iTOUGH2 solves the inverse problem by minimizing a non-linear objective function of the weighted differences between model output and the corresponding observations. Multiple minimization algorithms (derivative-free, gradient-based, and second-order; local and global) are available. iTOUGH2 also performs Latin Hypercube Monte Carlo simulations for uncertainty propagation analyses. A detailed residual and error analysis is provided.
This upgrade includes (a) global sensitivity analysis methods, (b) dynamic memory allocation (c) additional input features and output analyses, (d) increased forward simulation capabilities, (e) parallel execution on multicore PCs and Linux clusters, and (f) bug fixes.
- Developers:
-
Finsterle, Stefan [1] ; Kowalsky, Michael [1] ; Shu Heng Pau, George [1] ; Wainwright, Haruko [1] ; Jung, Yoojin [1] ; Zhang, Yingqi [1] ; Magnusdottir, Lilja [1]
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Release Date:
- 2016-10-28
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Licenses:
-
Other (Commercial or Open-Source): https://ipo.lbl.gov/marketplace
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC02-05CH11231
- Code ID:
- 18553
- Site Accession Number:
- 2016-182
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Country of Origin:
- United States
Citation Formats
Finsterle, Stefan, Kowalsky, Michael B., Shu Heng Pau, George, Wainwright, Haruko M., Jung, Yoojin, Zhang, Yingqi, and Magnusdottir, Lilja.
iTOUGH2 v7.1.
Computer Software.
USDOE.
28 Oct. 2016.
Web.
doi:10.11578/dc.20180918.1.
Finsterle, Stefan, Kowalsky, Michael B., Shu Heng Pau, George, Wainwright, Haruko M., Jung, Yoojin, Zhang, Yingqi, & Magnusdottir, Lilja.
(2016, October 28).
iTOUGH2 v7.1.
[Computer software].
https://doi.org/10.11578/dc.20180918.1.
Finsterle, Stefan, Kowalsky, Michael B., Shu Heng Pau, George, Wainwright, Haruko M., Jung, Yoojin, Zhang, Yingqi, and Magnusdottir, Lilja.
"iTOUGH2 v7.1." Computer software.
October 28, 2016.
https://doi.org/10.11578/dc.20180918.1.
@misc{
doecode_18553,
title = {iTOUGH2 v7.1},
author = {Finsterle, Stefan and Kowalsky, Michael B. and Shu Heng Pau, George and Wainwright, Haruko M. and Jung, Yoojin and Zhang, Yingqi and Magnusdottir, Lilja},
abstractNote = {iTOUGH2 (inverse TOUGH2) provides inverse modeling capabilities for TOUGH2, a simulator for multi-dimensional, multi-phase, multi-component, non-isothermal flow and transport in fractured porous media.
iTOUGH2 performs sensitivity analyses, data-worth analyses, parameter estimation, and uncertainty propagation analyses in geosciences and reservoir engineering and other application areas.
iTOUGH2 supports a number of different combinations of fluids and components (equation-of-state (EOS) modules). In addition, the optimization routines implemented in iTOUGH2 can also be used for sensitivity analysis, automatic model calibration, and uncertainty quantification of any external code that uses text-based input and output files using the PEST protocol.
iTOUGH2 solves the inverse problem by minimizing a non-linear objective function of the weighted differences between model output and the corresponding observations. Multiple minimization algorithms (derivative-free, gradient-based, and second-order; local and global) are available. iTOUGH2 also performs Latin Hypercube Monte Carlo simulations for uncertainty propagation analyses. A detailed residual and error analysis is provided.
This upgrade includes (a) global sensitivity analysis methods, (b) dynamic memory allocation (c) additional input features and output analyses, (d) increased forward simulation capabilities, (e) parallel execution on multicore PCs and Linux clusters, and (f) bug fixes.
},
doi = {10.11578/dc.20180918.1},
url = {https://doi.org/10.11578/dc.20180918.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20180918.1}},
year = {2016},
month = {oct}
}