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

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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. 
@article{VYURU_2010_6_a1,
     author = {A. V. Gagarin and G. A. Makeev and R. A. Baikov and V. G. Volkov},
     title = {An experience of parametric estimation of digital oil reservoir models},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a, Matemati\v{c}eskoe modelirovanie i programmirovanie},
     pages = {12--24},
     publisher = {mathdoc},
     number = {6},
     year = {2010},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VYURU_2010_6_a1/}
}
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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/