期刊
COMPUTERS & GEOSCIENCES
卷 65, 期 -, 页码 110-117出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cageo.2013.09.007
关键词
Global optimization; Inverse modeling; Reservoir modeling
资金
- GEORG (Geothermal Research Group)
- Icelandic Research Fund (RANNIS)
The objective function used when determining parameters in models for multiphase flow in porous media can have multiple local minima. The challenge is then to find the global minimum and also to determine the uniqueness of the optimized parameter values. A method for mapping out local minima to search for the global minimum by traversing regions of first order saddle points on the objective function surface is presented. This approach has been implemented with the iTOUGH2 software for estimation of models parameters. The methods applicability is illustrated here with two examples: a test problem mimicking a steady-state Darcy experiment and a simplified model of the Laugarnes geothermal area in Reykjavik, Iceland. A brief comparison with other global optimization techniques, in particular simulated annealing, differential evolution and harmony search algorithms is presented. (C) 2013 Elsevier Ltd. All rights reserved.
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