DocumentCode
2845914
Title
Application of multi-agent technique in petroleum production
Author
Li, Kun ; Tian, Zhongda ; Gao, Xianwen
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2010
fDate
26-28 May 2010
Firstpage
2856
Lastpage
2861
Abstract
Multi-agent system (MAS) is a set of intelligent agents which can perform common tasks by communicating, cooperating and collaborating with each other. It has the abilities of self-organization, self-learning and self-reasoning. In recent years, MAS is one of the hot researches in the field of distributed artificial intelligence. It is widely used in various aspects of the social field and provides a new idea for complex system. This paper firstly has a review to introduce multi-agent technique implemented in many social fields to show its extensive usability in different social fields and well ability to solve different complex problems. Petroleum production processes possess the characteristics of complexity, multi-variables and uncertainty etc. Traditional production techniques in petroleum field have faced lots of limitations in modern environment. It is necessary to adopt advanced and appropriate methods to improve production techniques. As a well theory for solving complex problems, MAS is utilized by more and more researchers to deal with different difficult problems in petroleum production processes.
Keywords
artificial intelligence; computational complexity; multi-agent systems; petroleum industry; production engineering computing; complex system; distributed artificial intelligence; intelligent agents; multiagent system technique; petroleum production processes; social field; Artificial intelligence; Collaboration; Competitive intelligence; Computer industry; Industrial control; Intelligent agent; Petroleum; Production systems; Uncertainty; Usability; Agent; Complex system; Distributed artificial intelligence; MAS; Petroleum production;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498714
Filename
5498714
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