Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052997
