ANN based interwell connectivity analysis in cyber-physical petroleum systems
Cheng HB(程海波)1,2,10; Han XN(韩小宁)1,2,10; Zeng P(曾鹏)1,2; Yu HB(于海斌)1,2,10; Osipov, Evgeny9; Vyatkin, Valeriy8,9
2019
会议日期July 22-25, 2019
会议地点Helsinki-Espoo, Finland
关键词waterflooded reservoir, interwell connectivity artificial neural network (ANN) long short-term memory (LSTM) cyber-physical petroleum systems(CPPS)
页码199-205
英文摘要In cyber-physical petroleum systems (CPPS), accurate estimation of interwell connectivity is an important process to know reservoir properties comprehensively, determine water injection rate scientifically, and enhance oil recovery effectively for oil and gas (OG) field. In this study, an artificial neural network (ANN) based analysis method is proposed to estimate interwell connectivity. The generated neural network is used to define the mapping function between production wells and surrounding injection wells based on the historical water injection and liquid production data. Finally, the proposed method is applied to a synthetic reservoir model. Experimental results show that ANN based approach is an efficient method for analyzing interwell connectivity.
源文献作者IEEE Industrial Electronics Society (IES) ; Tampere University ; The Institute of Electrical and Electronics Engineers (IEEE)
产权排序1
会议录Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号1935-4576
ISBN号978-1-7281-2927-3
WOS记录号WOS:000529510400028
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/26277]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Cheng HB(程海波)
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland
4.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden
5.University of Chinese Academy of Sciences, Beijing, China
6.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
7.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
8.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland
9.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden
10.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Cheng HB,Han XN,Zeng P,et al. ANN based interwell connectivity analysis in cyber-physical petroleum systems[C]. 见:. Helsinki-Espoo, Finland. July 22-25, 2019.
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