DocumentCode
2327347
Title
Research and Implementation of Fault Diagnosis System on Oil Field Based on Intelligence Integrating
Author
Zhao Feng-Zhi ; Bao Feng ; Lu Xiao-Chang
Author_Institution
Dept. of Comput. Sci., Daqing Pet. Inst., Qinhuangdao
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
In this paper, the authors put forward the integrating intelligence diagnosis model and the key technologies on this model in order to solve the work status diagnosis problem of oil well .The merits of this system included: knowledge acquisition automatically, high speed of identifying, high degree of intelligent zing, etc., and this system can identify 21 kinds of faults, this diagnosis technology was more exact comparing to other diagnosis methods.
Keywords
fault diagnosis; knowledge acquisition; petroleum industry; fault diagnosis system; intelligence integrating; knowledge acquisition; oil field; oil well; Competitive intelligence; Computer interfaces; Control systems; Databases; Fault diagnosis; Graphics; Intelligent systems; Machine intelligence; Mathematics; Petroleum;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5138032
Filename
5138032
Link To Document