Study on multi-objective optimization of oil production process

Author

Tan Liu ; Xianwen Gao ; Lina Wang

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2014

Firstpage

1824

Lastpage

1829

Abstract

By analyzing the mechanism of oil production process and the relationship between each subsystem, a multi-objective optimization model is proposed, which is with maximizing overall oil production, minimizing overall water production and comprehensive energy consumption for per ton oil as the goals, and then a multi-objective evolutionary algorithm NSGA-II is used for solving the multi-objective optimization model in this paper. Finally, the actual production process in a block of an oil production operation area is taken as background for simulation study, the results showed that the effectiveness and rationality of the model and it laid the foundation for the energy saving of oil production process.

Keywords

energy consumption; genetic algorithms; petroleum industry; NSGA-II; energy consumption; energy saving; multiobjective evolutionary algorithm; multiobjective optimization model; oil production process; water production; Data models; Energy consumption; Optimization; Predictive models; Production; Sociology; Statistics; NSGA-II; multi-objective evolutionary algorithm; multi-objective optimization; oil production process;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7052997

Filename

7052997