Geodesic
An experience of parametric estimation of digital oil reservoir models
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 6 (2010), pp. 12-24 Cet article a éte moissonné depuis la source Math-Net.Ru

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A system that is designed to identify parameters of digital oil reservoir models is presented in this paper. An application of common optimization methods, proposed intelligent optimization algorithms and other tools for finding solution, making sensitivity analysis and searching for hidden dependencies between parameters of interest is investigated. The system developed is suited for solving optimization tasks with fitness function value depending on results of resource consuming calculations.
Keywords: parameters' identification, an optimization, genetic algorithms, neural networks, hydrodynamic models. 
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A. V. Gagarin; G. A. Makeev; R. A. Baikov; V. G. Volkov. An experience of parametric estimation of digital oil reservoir models. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 6 (2010), pp. 12-24. http://geodesic.mathdoc.fr/item/VYURU_2010_6_a1/

[1] P. J. Ballester, J. N. Carter, “A parallel real-coded genetic algorithm for history matching and its application to a real petroleum reservoir”, J. of Petroleum Science and Engineering, 59 (2007), 157–168 | DOI

[2] R. Schulze-Riegert, J. Axmann, O. Haase et al., “Evolutionary algorithms applied to history matching of complex reservoirs”, SPE Reservoir Evaluation Engineering, 5:2 (2002), 163–173 | DOI

[3] S. Gomez, O. Gosselin, J. Barker, “Gradient-based history-matching with a global optimization method”, Society of Petroleum Engineering J., 6 (2001), 200–208

[4] A. A. Javadi, R. Farmani, T. P. Tan, “A hybrid intelligent genetic algorithm”, Advanced Engineering Informatics, 19:4 (2005), 255–262 | DOI

[5] J.-T. Kuo, Y.-Y. Wang, W.-S. Lung, “A hybrid neural-genetic algorithm for reservoir water quality management”, Water Res., 40:7, Apr. (2006), 1367–1376 | DOI

[6] H. Soleng, “Oil reservoir production forecasting with uncertainty estimation using genetic algorithms”, Proc. Congress on Evolutionary Computation CEC 99 (6–9 July 1999), v. 2

[7] V. Srinivas, K. Ramanjaneyulu, “An integrated approach for optimum design of bridge decks using genetic algorithms and artificial neural networks”, Advances in Engineering Software, 38 (2006), 475–487 | DOI

[8] G. G. Wang, S. Shan, “Review of metamodeling techniques in support of engineering design optimization”, J. of Mechanical Design, 129:4 (2007), 370–380 | DOI

[9] L. Wang, “A hybrid genetic algorithm-neural network strategy for simulation optimization”, Applied Mathematics and Computation, 170 (2005), 1329–1343 | DOI | MR | Zbl

[10] A. P. Kuleshov, “Kognitivnye tekhnologii v osnovannykh na dannykh adaptivnykh modelyakh slozhnykh ob'ektov”, Informatsionnye tekhnologii i vychislitelnye sistemy, 2008, no. 1, 18–29 | MR

[11] L. Lyung, Identifikatsiya sistem. Teoriya dlya polzovatelya, per. s angl., ed. Ya. Z. Tsypkin, Nauka. Gl. red. fiz.-mat. lit., M., 1991, 432 pp. | MR

[12] Ya. Z. Tsypkin, Informatsionnaya teoriya identifikatsii, Nauka. Fizmatlit, M., 1995, 336 pp.