Development of a simulation-optimization model for multiphase systems in the subsurface: a challenge to real-world simulation-optimization

被引:6
|
作者
Kobayashi, Kenichiro [1 ]
Hinkelmann, Reinhard [2 ]
Helmig, Rainer [3 ]
机构
[1] Kyoto Univ, Inst Sustainabil Sci, Kyoto 6110011, Japan
[2] Tech Univ Berlin, Fachgebiet Wasserwirtschaft & Hydrosystemmodellie, Inst Bauingenieurwesen, D-13355 Berlin, Germany
[3] Univ Stuttgart, Lehrstuhl Hydromech & Hydrosystemmodellierung, Inst Wasserbau, D-70550 Stuttgart, Germany
关键词
mesh generation; methane; parallelization; simulation-optimization; single/multiphase flow;
D O I
10.2166/hydro.2008.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The main purpose of this paper is to demonstrate the capability of a new simulation-optimization model especially tailored to investigate the optimal management strategy of a closed coal mine in the Ruhr, Germany. This paper deals with the multiphase/multicomponent flow simulation; the optimization model (simulated annealing); the mesh generation function; the coupling of them; and the use of a parallel computer. Firstly, a mesh generation function is included in the total procedure for the modelling of complex system configurations often required when the real-world problem is dealt with. The multiphase/multicomponent flow simulator can simulate not only groundwater flow and a tracer in it but also the multiphase systems (e. g. gas-water, gas-water NAPL system). Moreover, a parallelization strategy for the optimization procedure is proposed and implemented to overcome the enormous CPU time problem always tagged to real-world simulation-optimizations. This strategy succeeded in enhancing the efficiency of the overall procedure almost linearly by the number of the processors in a parallel computer. This model is then applied to study how to install the passive extraction wells for controlling the migration of methane continuously desorbed from coal seams inside the closed coal mine in the Ruhr, Germany. The general rule proposed as the result of the application is rather simple although it is considered very useful in many practices of coal mining operations. This paper briefly outlines the overall procedure.
引用
收藏
页码:139 / 152
页数:14
相关论文
共 50 条
  • [1] Reliable simulation-optimization of traffic lights in a real-world city
    Ferrer, Javier
    Lopez-Ibanez, Manuel
    Alba, Enrique
    APPLIED SOFT COMPUTING, 2019, 78 : 697 - 711
  • [2] A GENERATIVE SIMULATION-OPTIMIZATION SYSTEM
    BENGU, G
    HADDOCK, J
    COMPUTERS & INDUSTRIAL ENGINEERING, 1986, 10 (04) : 301 - 313
  • [3] A testbed of simulation-optimization problems
    Pasupathy, Raghu
    Henderson, Shane G.
    PROCEEDINGS OF THE 2006 WINTER SIMULATION CONFERENCE, VOLS 1-5, 2006, : 255 - 263
  • [4] INTEGRATED SIMULATION-OPTIMIZATION SYSTEM
    EVTUSHENKO, Y
    SIMULATION, 1980, 35 (05) : 177 - 177
  • [5] Simulation-optimization of complex systems: Methods and applications
    Dellino, Gabriella
    Meloni, Carlo
    Pierreval, Henri
    SIMULATION MODELLING PRACTICE AND THEORY, 2014, 46 : 1 - 3
  • [6] Simulation-Optimization Tool for Multiattribute Reservoir Systems
    Seifollahi-Aghmiuni, Samaneh
    Bozorg-Haddad, Omid
    JOURNAL OF HYDROLOGIC ENGINEERING, 2019, 24 (09)
  • [7] A framework for simulation-optimization software
    Boesel, J
    Nelson, BL
    Ishii, N
    IIE TRANSACTIONS, 2003, 35 (03) : 221 - 229
  • [8] A simulation-optimization model for optimal design of subsurface barrier to control seawater intrusion
    Hasanbasri, M
    Simonovic, SP
    GROUNDWATER 2000, 2000, : 495 - 496
  • [9] iTOUGH2: A multiphysics simulation-optimization framework for analyzing subsurface systems
    Finsterle, S.
    Commer, M.
    Edmiston, J. K.
    Jung, Y.
    Kowalsky, M. B.
    Pau, G. S. H.
    Wainwright, H. M.
    Zhang, Y.
    COMPUTERS & GEOSCIENCES, 2017, 108 : 8 - 20
  • [10] A surrogate model for simulation-optimization of aquifer systems subjected to seawater intrusion
    Hussain, Mohammed S.
    Javadi, Akbar A.
    Ahangar-Asr, Alireza
    Farmani, Raziyeh
    JOURNAL OF HYDROLOGY, 2015, 523 : 542 - 554