Neural network based modeling for oil well pressure data compensation system
文献类型:期刊论文
作者 | Tang, Jian-long; li, En![]() ![]() ![]() ![]() |
刊名 | COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS
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出版日期 | 2006 |
卷号 | 4114页码:844-854 |
英文摘要 | 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 |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS记录号 | WOS:000240083300106 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9223] ![]() |
专题 | 自动化研究所_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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
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