The Innovation Energy > 2024 Vol. 1 > No. 3 > 100044
Next Article Previous Article
LETTER   Open Access     Cite

Intelligent process control ensures energy transmission safety in an ever more tumultuous world

  • 1.

    National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering/ Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Fuxue Road No. 18, Changping District, Beijing 102249, China

  • 2.

    PipeChina Oil & Gas Control Center, Beijing 100013, China

  • 3.

    Department of Chemical and Petroleum Engineering, the University of Calgary, Calgary, Alberta T6G2R3, Canada

  • 4.

    PetroChina Planning and Engineering Institute, Beijing 100083, China

  • 5.

    State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China

  • 6.

    Research Center of Coastal and Urban Geotechnical Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

    • Show all affliationsShow less
More Information
The Innovation Energy  1(3),  https://doi.org/10.59717/j.xinn-energy.2024.100044  |  Cite this article
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [1] Peres, R.S., Jia, X., Lee, J., et al. (2020). Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook. IEEE Access 8: 220121-220139. DOI: 10.1109/access.2020.3042874.

    View in Article Google Scholar

    [2] Gil, Y., Greaves, M., Hendler, J., et al. (2014). Amplify scientific discovery with artificial intelligence. Science 346: 171−172. DOI: 10.1126/science.1259439.

    View in Article CrossRef Google Scholar

    [3] Nikačević, N.M., Huesman, A.E.M., Van den Hof, P.M.J., et al. (2012). Opportunities and challenges for process control in process intensification. Chem. Eng. Process. Process Intensif. 52: 1−15. DOI: 10.1016/j.cep.2011.11.006.

    View in Article CrossRef Google Scholar

    [4] Ahmed, I., Jeon, G., and Piccialli, F. (2022). From artificial intelligence to explainable artificial intelligence in industry 4.0: A survey on what, how, and where. IEEE Trans. Industr. Inform. 18:5031–5042. DOI: 10.1109/TII.2022.3146552.

    View in Article Google Scholar

    [5] Saboo, S. (2024). Optimizing gas pipeline operations with machine learning: A case study of a north American energy company. SPE Conf. Oman Petrol. Energy Show D021S021R006. DOI: 10.2118/218564-MS.

    View in Article Google Scholar

    [6] Pistikopoulos, E.N., Akundi, S.S., Kenefake, D., et al. (2024). The quest towards the integration of process control, process operations, and process operability –Industrial need or academic curiosity. Comput. Chem. Eng. 180: 108470. DOI: 10.1016/j.compchemeng.2023.108470.

    View in Article CrossRef Google Scholar

    [7] Zhuge, J. (2015). Integration of process scheduling and control. Rutgers The State University of New Jersey, School of Graduate Studies.

    View in Article Google Scholar

    [8] Baldea, M. and Harjunkoski, I. (2014). Integrated production scheduling and process control: A systematic review. Comput. Chem. Eng. 71: 377−390. DOI: 10.1016/j.compchemeng.2014.09.002.

    View in Article CrossRef Google Scholar

    [9] Arinze, C.A., Izionworu, V.O., Isong, D., et al. (2024). Integrating artificial intelligence into engineering processes for improved efficiency and safety in oil and gas operations. Open Acc. Res. J. Eng. Tech. 6: 39−51. DOI: 10.53022/oarjet.2024.6.1.0012.

    View in Article CrossRef Google Scholar

    [10] Tang, S., Yang, Y., Zhang, L., et al. (2021). Preliminary study on intelligent control of natural gas pipeline networks. Oil Gas Stor. Transp. 40: 991−996+1026. DOI: 10.6047/j.issn.1000-8241.2021.09.004.

    View in Article CrossRef Google Scholar

    • CITED BY

  • Cite this article:

    Lu Y., Wen K., Yang Y., et al., (2024). Intelligent process control ensures energy transmission safety in an ever more tumultuous world. The Innovation Energy 1(3): 100044. https://doi.org/10.59717/j.xinn-energy.2024.100044
    Lu Y., Wen K., Yang Y., et al., (2024). Intelligent process control ensures energy transmission safety in an ever more tumultuous world. The Innovation Energy 1(3): 100044. https://doi.org/10.59717/j.xinn-energy.2024.100044

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(1172) PDF downloads(326) Cited by(0)

Relative Articles

Article Contents
ABOUT THIS ARTICLE

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return

    {{newsColumn.name}}

    Journal links

    {{newsColumn.name}}

    Stay connected

    Copyright © Innovation Press