Real-Time Monitoring of Oilfield Operations with Deep Neural Networks-Reference-Cited by-同舟云学术

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Real-Time Monitoring of Oilfield Operations with Deep Neural Networks

Published:2024-05-02 Issue: Volume: Page:
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Paroha Abhay Dutt¹

Affiliation:

1. SLB,Houston,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551126.pdf?arnumber=10551126

Reference14 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2. Research on Comprehensive Online Monitoring Technology of Intelligent Substation Transformer;Zhu;Electrotechnical Technology,2021

3. OLPD Condition Monitoring of Complete Networks for Oil and Gas: Field Experiences and the Lessons Learned after Two Years of Continuous OLPD Monitoring

4. Prediction Model of Transformer Internal Latent Failure Rate Considering the Impact of Maintenance Operations;Cheng;Electrical Measurement and Instrumentation,2022

5. Analysis of Operation and Maintenance of Oil Chromatography Online Monitoring Device;Sheng;Journal of State Grid Institute of Technology,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study;Energies;2024-08-23

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