iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems

被引:26
|
作者
Finsterle, S. [1 ,2 ]
Commer, M. [1 ]
Edmiston, J. K. [1 ,3 ]
Jung, Y. [1 ]
Kowalsky, M. B. [1 ]
Pau, G. S. H. [1 ]
Wainwright, H. M. [1 ]
Zhang, Y. [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Earth & Environm Sci, One Cyclotron Rd,MS 74-316 C, Berkeley, CA 94720 USA
[2] Finsterle GeoConsulting, 315 Vassar Ave, Kensington, CA 94708 USA
[3] Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA
关键词
Numerical simulation; Inverse modeling; Parameter estimation; Uncertainty quantification; Sensitivity analysis; Data-worth analysis; GROUND-PENETRATING RADAR; SENSITIVITY-ANALYSIS; UNSATURATED FLOW; MULTIPHASE FLOW; GLOBAL OPTIMIZATION; GEOTHERMAL SYSTEM; HYDROLOGICAL DATA; NUMERICAL-MODEL; JOINT INVERSION; CO2; STORAGE;
D O I
10.1016/j.cageo.2016.09.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 review article 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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:8 / 20
页数:13
相关论文
共 50 条
  • [1] Solving iTOUGH2 simulation and optimization problems using the PEST protocol
    Finsterle, Stefan
    Zhang, Yingqi
    ENVIRONMENTAL MODELLING & SOFTWARE, 2011, 26 (07) : 959 - 968
  • [2] Demonstration of optimization techniques for groundwater plume remediation using iTOUGH2
    Finsterle, Stefan
    ENVIRONMENTAL MODELLING & SOFTWARE, 2006, 21 (05) : 665 - 680
  • [3] Integrating structural geological data into the inverse modelling framework of iTOUGH2
    Wellmann, J. Florian
    Finsterle, Stefan
    Croucher, Adrian
    COMPUTERS & GEOSCIENCES, 2014, 65 : 95 - 109
  • [4] Development of a simulation-optimization model for multiphase systems in the subsurface: a challenge to real-world simulation-optimization
    Kobayashi, Kenichiro
    Hinkelmann, Reinhard
    Helmig, Rainer
    JOURNAL OF HYDROINFORMATICS, 2008, 10 (02) : 139 - 152
  • [5] A framework for simulation-optimization software
    Boesel, J
    Nelson, BL
    Ishii, N
    IIE TRANSACTIONS, 2003, 35 (03) : 221 - 229
  • [6] A simulation-optimization framework for traffic disturbance recovery in metro systems
    Tessitore, M. L.
    Sama, M.
    D'Ariano, A.
    Helouet, L.
    Pacciarelli, D.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 136
  • [7] A smart simulation-optimization framework for solar-powered desalination systems
    Aldaghi, Alireza
    Gheibi, Mohammad
    Akrami, Mehran
    Hajiaghaei-Keshteli, Mostafa
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2022, 19
  • [8] Flood Management with SUDS: A Simulation-Optimization Framework
    Ferrans, Pascual
    Reyes-Silva, Julian David
    Krebs, Peter
    Temprano, Javier
    WATER, 2023, 15 (03)
  • [9] A simulation-optimization framework for Research and Development Pipeline management
    Subramanian, D
    Pekny, JF
    Reklaitis, GV
    AICHE JOURNAL, 2001, 47 (10) : 2226 - 2242
  • [10] A simulation-optimization framework for optimizing response strategies to epidemics
    Gillis, Melissa
    Urban, Ryley
    Saif, Ahmed
    Kamal, Noreen
    Murphy, Matthew
    OPERATIONS RESEARCH PERSPECTIVES, 2021, 8