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Mariia Yu. Zemenkova
Mariia Yu. Zemenkova
Associate Professor, Ph.D., Dr.Sci.
Tyumen Industrial University
Associate Professor, Ph.D., Dr.Sci.
Tyumen Industrial University
325
Total cited
10
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Articles

Modern Trends in Hydrocarbon Resources Development
  • Date submitted
    2022-09-30
  • Date accepted
    2022-11-28
  • Date published
    2022-12-29

Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies

Article preview

The national strategic goal of the Russian Federation is to ensure the safety of critical technologies and sectors, which are important for the development of the country's oil and gas industry. The article deals with development of national technology for intelligent monitoring of the condition of industrial facilities for transport and storage of oil and gas. The concept of modern monitoring and safety control system is developed focusing on a comprehensive engineering control using integrated automated control systems to ensure the intelligent methodological support for import-substituting technologies. A set of approved algorithms for monitoring and control of the processes and condition of engineering systems is proposed using modular control robotic complexes. Original intelligent models were developed for safety monitoring and classification of technogenic events and conditions. As an example, algorithms for monitoring the intelligent safety criterion for the facilities and processes of pipeline transport of hydrocarbons are presented. The research considers the requirements of federal laws and the needs of the industry.

How to cite: Zemenkova M.Y., Chizhevskaya E.L., Zemenkov Y.D. Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies // Journal of Mining Institute. 2022. Vol. 258. p. 933-944. DOI: 10.31897/PMI.2022.105