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Neural network based modeling for oil well pressure data compensation system
Tang, Jian-long; li, En; Hou, Zeng-guang; Zu, Qi; Liang, Zi-ze; Tan, Min; Huang, DS; Li, K; Irwin, GW
2006
发表期刊COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS
卷号4114页码:844-854
文章类型Article
摘要This paper mainly focuses on the modeling of oil well pressure data compensation system(OWPCS) based on Neural Networks(NN). Firstly, the operational principle and configuration of OWPCS is described. Then the currently widely used modeling method for OWPCS is given, and its limitations and disadvantages are also illustrated. Secondly, in order to solve the OWPCS modeling problem more reasonably, a new approach based on Neural Network is proposed. Thirdly, the feasibility of using NN to solve this problem is analyzed, and a three-layer BP network is constructed to testify the new modeling method. Fourthly, considering the defect of BP learning algorithm and the special application environment of OWPCS, some improvements are given. Finally, experiment results are presented to show the reasonableness and effectiveness of the new method.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000240083300106
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9223
专题09年以前成果
作者单位1.Chinese Acad Sci, Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
2.N China Univ Technol, Automat Dept, Field Bus Tech & Automat Key Lab, Beijing, Peoples R China
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GB/T 7714
Tang, Jian-long,li, En,Hou, Zeng-guang,et al. Neural network based modeling for oil well pressure data compensation system[J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,2006,4114:844-854.
APA Tang, Jian-long.,li, En.,Hou, Zeng-guang.,Zu, Qi.,Liang, Zi-ze.,...&Irwin, GW.(2006).Neural network based modeling for oil well pressure data compensation system.COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,4114,844-854.
MLA Tang, Jian-long,et al."Neural network based modeling for oil well pressure data compensation system".COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 4114(2006):844-854.
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