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ANN based interwell connectivity analysis in cyber-physical petroleum systems
Alternative TitleANN based interwell connectivity analysis in cyber-physical petroleum systems.pdf
Cheng HB(程海波)1,2,3; Han XN(韩小宁)1,2,3; Zeng P(曾鹏)1,2; Yu HB(于海斌)1,2,3; Osipov, Evgeny4; Vyatkin, Valeriy4,5
Department工业控制网络与系统研究室
Conference Name17th IEEE International Conference on Industrial Informatics, INDIN 2019
Conference DateJuly 22-25, 2019
Conference PlaceHelsinki-Espoo, Finland
Author of SourceIEEE Industrial Electronics Society (IES) ; Tampere University ; The Institute of Electrical and Electronics Engineers (IEEE)
Source PublicationProceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
PublisherIEEE
Publication PlaceNew York
2019
Pages199-205
Indexed ByEI ; CPCI(ISTP)
EI Accession number20200608146356
WOS IDWOS:000529510400028
Contribution Rank1
ISSN1935-4576
ISBN978-1-7281-2927-3
Keywordwaterflooded reservoir, interwell connectivity artificial neural network (ANN) long short-term memory (LSTM) cyber-physical petroleum systems(CPPS)
AbstractIn 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26277
Collection工业控制网络与系统研究室
Corresponding AuthorCheng HB(程海波)
Affiliation1.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.University of Chinese Academy of Sciences, Beijing, China
4.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden
5.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland
6.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
7.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
8.University of Chinese Academy of Sciences, Beijing, China
9.Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Lulea, Sweden
10.Department of Electrical Engineering and Automation, Aalto University, Helsinki, Finland
Recommended Citation
GB/T 7714
Cheng HB,Han XN,Zeng P,et al. ANN based interwell connectivity analysis in cyber-physical petroleum systems[C]//IEEE Industrial Electronics Society (IES), Tampere University, The Institute of Electrical and Electronics Engineers (IEEE). New York:IEEE,2019:199-205.
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