ANN based interwell connectivity analysis in cyber-physical petroleum systems
文献类型：会议论文
| 作者 | Cheng HB(程海波)2,3,4 ; Han XN(韩小宁)2,3,4; Zeng P(曾鹏)2,3; Yu HB(于海斌)2,3,4; Osipov, Evgeny5; Vyatkin, Valeriy5,6
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| 出版日期 | 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
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| 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 |
| 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.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden 2.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.University of Chinese Academy of Sciences, Beijing, China 5.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden 6.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland 7.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 8.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 9.University of Chinese Academy of Sciences, Beijing, China 10.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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