Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving
Joint Authors
Li, Tai-fu
Liao, Zhiqiang
Gu, Xiaohua
Yang, Liping
Nie, Ling
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Beam pumping system which is widely used in petroleum enterprises of China is one of the most energy-consuming equipment.
It is difficult to be modeled and optimized due to its complication and nonlinearity.
To address this issue, a novel intelligent computing based method is proposed in this paper.
It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2).
The inputs of GRNN include the number of punching, the maximum load, the minimum load, the effective stroke, and the computational pump efficiency, while the outputs are the electric power consumption and the oil yield.
Experimental results show that there is good overlap between model estimations and unseen data.
Then sixty-one sets of optimum parameters are found based on the obtained model.
Also, the results show that, under the optimum parameters, more than 5.34% oil yield is obtained and more than 3.75% of electric power consumption is saved.
American Psychological Association (APA)
Gu, Xiaohua& Li, Tai-fu& Liao, Zhiqiang& Yang, Liping& Nie, Ling. 2014. Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-462973
Modern Language Association (MLA)
Gu, Xiaohua…[et al.]. Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-462973
American Medical Association (AMA)
Gu, Xiaohua& Li, Tai-fu& Liao, Zhiqiang& Yang, Liping& Nie, Ling. Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-462973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462973