DocumentCode :
1972544
Title :
The research and application on neural network in the production of complex oil wells
Author :
Tao, Fang ; Li, Xunming
Author_Institution :
Dept. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
fYear :
2011
fDate :
16-18 Sept. 2011
Firstpage :
2755
Lastpage :
2757
Abstract :
Indicator Diagram Measurement has been widely used in modern oil well production, It not only enhances real-time measurement of oil wells, reduces the waste of human resource in the oil Metering Station and large amount of oil tank in the past, but also greatly reduces the error caused by manual manipulation. As the diversity and irregularity of well diagram in the complexity of the oil zone, there are some errors in the measurement based on traditional diagram. Neural Network can reflect the mapping of any nonlinear, it can distinguish the various types of diagram. Then we can select the appropriate algorithm to calculate the opening and doing point of the well valve, so as to achieve accurate measurement requirements of the various types of complex diagram.
Keywords :
metering; neural nets; oil technology; complex oil well production; diagram measurement; human resource; mapping; neural network; oil metering station; Educational institutions; Electrical engineering; Energy measurement; Measurement uncertainty; Valves; Indicator Diagram Measurement; Neural Network; The Oping and Closing point of the Well Valve);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
Type :
conf
DOI :
10.1109/ICECENG.2011.6057009
Filename :
6057009
Link To Document :
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