Title :
Optimization Based on Ant Colony-Genetic Algorithm in Oilfield Water Injection System
Author :
Wang Yuxue ; Wang Yinfeng
Author_Institution :
Sch. of Math. Sci. & Technol., Northeast Pet. Univ., Daqing, China
Abstract :
This paper presents an algorithm of Ant Colony-Genetic to solve the optimization problem of oilfield water system. For the shortcomings of basic genetic algorithm, this paper has made a corresponding improvement to improve the global searching capability. Under the requirements of actual oil- field water injection system service, this algorithm is used to solve this optimization problem of oilfield water system, and the feasibility of this algorithm is verified by example.
Keywords :
genetic algorithms; petroleum industry; search problems; water; ant colony-genetic algorithm; global searching capability; oil-field water injection system; optimization problem; Energy consumption; Genetic algorithms; Genetics; Mathematical model; Optimization; Search methods; Water resources;
Conference_Titel :
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9282-4
DOI :
10.1109/CAMAN.2011.5778734
