Solving iTOUGH2 simulation and optimization problems using the PEST protocol

被引:58
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 50 条
  • [31] Solving Constrained Trajectory Planning Problems Using Biased Particle Swarm Optimization
    Chai, Runqi
    Tsourdos, Antonios
    Savvaris, A. L.
    Chai, Senchun
    Xia, Yuanqing
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 57 (03) : 1685 - 1701
  • [32] Solving Combinatorial Optimization Problems Using Augmented Lagrange Chaotic Simulated Annealing
    Wang, Lipo
    Tian, Fuyu
    Soong, Boon Hee
    Wan, Chunru
    [J]. DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS, 2011, 19 (1-2) : 171 - 179
  • [33] Solving optimization problems using a hybrid systolic search on GPU plus CPU
    Vidal, Pablo
    Alba, Enrique
    Luna, Francisco
    [J]. SOFT COMPUTING, 2017, 21 (12) : 3227 - 3245
  • [34] Development of simulation optimization methods for solving patient referral problems in the hospital-collaboration environment
    Chen, Ping-Shun
    Lin, Ming-Han
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2017, 73 : 148 - 158
  • [35] Solving a maritime inventory routing problem under uncertainty using optimization and simulation
    Jørgen Bjaarstad Nikolaisen
    Sofie Smith Vågen
    Peter Schütz
    [J]. Computational Management Science, 2023, 20
  • [36] Solving a maritime inventory routing problem under uncertainty using optimization and simulation
    Nikolaisen, Jorgen Bjaarstad
    Vagen, Sofie Smith
    Schutz, Peter
    [J]. COMPUTATIONAL MANAGEMENT SCIENCE, 2023, 20 (01)
  • [37] Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget
    Jones, Oliver P. H.
    Oakley, Jeremy E.
    Purshouse, Robin C.
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 1399 - 1405
  • [38] Solving Nonnative Combinatorial Optimization Problems Using Hybrid Quantum-Classical Algorithms
    Wurtz, Jonathan
    Sack, Stefan H.
    Wang, Sheng-Tao
    [J]. IEEE TRANSACTIONS ON QUANTUM ENGINEERING, 2024, 5
  • [39] Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems
    Sinha, Ankur
    Soun, Tharo
    Deb, Kalyanmoy
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2019, 44 : 496 - 510
  • [40] Solving Tri-level Programming Problems Using a Particle Swarm Optimization Algorithm
    Han, Jialin
    Zhang, Guangquan
    Hu, Yaoguang
    Lu, Jie
    [J]. PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 569 - 574