Solving iTOUGH2 simulation and optimization problems using the PEST protocol

被引:59
作者
Finsterle, Stefan [1 ]
Zhang, Yingqi [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA 94720 USA
关键词
Optimization; Sensitivity analysis; Inverse modeling; Uncertainty quantification; iTOUGH2; PEST; UNSATURATED FLOW; AQUIFER PARAMETERS; MODEL; SEEPAGE; INVERSE; FIELD; ALGORITHM; TRANSIENT; SITE;
D O I
10.1016/j.envsoft.2011.02.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The PEST protocol has been implemented into the iTOUGH2 code, allowing the user to link any simulation program (with ASCII-based inputs and outputs) to iTOUGH2's sensitivity analysis, inverse modeling, and uncertainty quantification capabilities. These application models can be pre- or post-processors of the TOUGH2 non-isothermal multiphase flow and transport simulator, or programs that are unrelated to the TOUGH suite of codes. PEST-style template and instruction files are used, respectively, to pass input parameters updated by the iTOUGH2 optimization routines to the model, and to retrieve the model-calculated values that correspond to observable variables. We summarize the iTOUGH2 capabilities and demonstrate the flexibility added by the PEST protocol for the solution of a variety of simulation optimization problems. In particular, the combination of loosely coupled and tightly integrated simulation and optimization routines provides both the flexibility and control needed to solve challenging inversion problems for the analysis of multiphase subsurface flow and transport systems. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:959 / 968
页数:10
相关论文
共 51 条
[1]   Simultaneous determination of aquifer parameters and zone structures with fuzzy c-means clustering and meta-heuristic harmony search algorithm [J].
Ayvaz, M. Tamer .
ADVANCES IN WATER RESOURCES, 2007, 30 (11) :2326-2338
[2]   Building model analysis applications with the Joint Universal Parameter IdenTification and Evaluation of Reliability (JUPITER) API [J].
Banta, Edward R. ;
Hill, Mary C. ;
Poeter, Eileen ;
Doherty, John E. ;
Babendreler, Justin .
COMPUTERS & GEOSCIENCES, 2008, 34 (04) :310-319
[3]   Scaling of fracture systems in geological media [J].
Bonnet, E ;
Bour, O ;
Odling, NE ;
Davy, P ;
Main, I ;
Cowie, P ;
Berkowitz, B .
REVIEWS OF GEOPHYSICS, 2001, 39 (03) :347-383
[4]   ESTIMATION OF AQUIFER PARAMETERS UNDER TRANSIENT AND STEADY-STATE CONDITIONS .1. MAXIMUM-LIKELIHOOD METHOD INCORPORATING PRIOR INFORMATION [J].
CARRERA, J ;
NEUMAN, SP .
WATER RESOURCES RESEARCH, 1986, 22 (02) :199-210
[5]  
CARRERA J, 1984, THESIS U ARIZONA TUC
[6]  
Doherty J., 2008, PEST, Model Independent Parameter Estimation-User manual: Brisbane, Australia, Watermark Numerical Computing
[7]  
Doherty J., 2007, FORTRAN 90 Modules for Implementation of Parallelised, Model-Independent, Model-Based Processing
[8]   A short exploration of structural noise [J].
Doherty, John ;
Welter, David .
WATER RESOURCES RESEARCH, 2010, 46
[9]   Two statistics for evaluating parameter identifiability and error reduction [J].
Doherty, John ;
Hunt, Randall J. .
JOURNAL OF HYDROLOGY, 2009, 366 (1-4) :119-127
[10]   Advanced vadose zone simulations using TOUGH [J].
Finsterle, S. ;
Doughty, C. ;
Kowalsky, M. B. ;
Moridis, G. J. ;
Pan, L. ;
Xu, T. ;
Zhang, Y. ;
Pruess, K. .
VADOSE ZONE JOURNAL, 2008, 7 (02) :601-609