DocumentCode
3301137
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
fYear
2011
fDate
19-21 May 2011
Firstpage
1
Lastpage
3
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9282-4
Type
conf
DOI
10.1109/CAMAN.2011.5778734
Filename
5778734
Link To Document