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

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.

[1]  R. Hinkelmann,et al.  APPLICATION OF HYDROINFORMATIC METHODS AND TECHNIQUES FOR COMPLEX SYSTEMS - QUANTIFICATION OF METHANE-MIGRATION PROCESSES FROM ABANDONED COAL MINES , 2004 .

[2]  Richard C. Peralta,et al.  Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm , 1999 .

[3]  Juan Frausto-Solís,et al.  MPSA: A Methodology to Parallelize Simulated Annealing and its application to the Traveling Salesman Problem , 2002 .

[4]  Maria da Conceição Cunha,et al.  Groundwater Monitoring Network Optimization with Redundancy Reduction , 2004 .

[5]  Kenichiro Kobayashi,et al.  Optimization methods for multiphase systems in the subsurface : application to methane migration in coal mining areas , 2005 .

[6]  William W.-G. Yeh,et al.  Multiobjective optimization for sustainable groundwater management in semiarid regions , 2004 .

[7]  Dimitri P. Solomatine,et al.  Groundwater Remediation Strategy Using Global Optimization Algorithms , 2002 .

[8]  John Doherty,et al.  Ground Water Model Calibration Using Pilot Points and Regularization , 2003, Ground water.

[9]  C. Zheng.  A Modular Three-Dimensional Transport Model for Simulation of Advection, Dispersion and Chemical Reaction of Contaminants in Groundwater Systems , 1990 .

[10]  Rainer Helmig,et al.  Efficient fully-coupled solution techniques for two-phase flow in porous media: Parallel multigrid solution and large scale computations , 1999 .

[11]  Robert Azencott,et al.  Simulated annealing : parallelization techniques , 1992 .

[12]  Paul P. Wang,et al.  MT3DMS: A Modular Three-Dimensional Multispecies Transport Model for Simulation of Advection, Dispersion, and Chemical Reactions of Contaminants in Groundwater Systems; Documentation and User's Guide , 1999 .

[13]  Stefan Finsterle.  Solving the estimation-identification problem in two-phase flow modeling , 1996 .

[14]  R. Helmig.  Multiphase Flow and Transport Processes in the Subsurface: A Contribution to the Modeling of Hydrosystems , 2011 .

[15]  Juan Frausto Solís,et al.  A Methodology to Parallel the Temperature Cycle in Simulated Annealing , 2000, MICAI.

[16]  Stefan Finsterle.  Demonstration of optimization techniques for groundwater plume remediation , 2000 .

[17]  Alexander Fuchs.  Optimierte Delauny-Triangulierungen zur Vernetzung getrimmter NURBS-Körper , 1999 .

[18]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[19]  E. Poeter,et al.  Documentation of UCODE; a computer code for universal inverse modeling , 1998 .

[20]  Daniel R. Greening,et al.  Parallel simulated annealing techniques , 1990 .