Опыт решения задачи параметрического оценивания цифровых моделей нефтяного месторождения

A. V. Gagarin; G. A. Makeev; R. A. Baikov; V. G. Volkov

Authors

A. V. Gagarin
G. A. Makeev Ufa State Aviation Technical University
R. A. Baikov Ufa State Aviation Technical University
V. G. Volkov

Keywords:

parameters' identification, an optimization, genetic algorithms, neural networks, hydrodynamic models

Abstract

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.

Author Biographies

A. V. Gagarin

Researcher "RN UVA NIPIneft"

G. A. Makeev, Ufa State Aviation Technical University

Associate Professor

V. G. Volkov

Director of the Department of LLC "RN-UFA NIPIneft"

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