Vol.1, No.1, 2019, pp.41-48, doi:10.32604/jqc.2019.06283
OPEN ACCESS
ARTICLE
T Application of MES System in the Safety Management of Offshore Oil and Gas Fields
  • Yong Chen1,*, Lei Cui1, Chong Wang2
China National Offshore Oil Corporation China Limited, Shenzhen Branch, Shenzhen , 518000, China.
Department of Engineering Mechanics, State Marine Technical University of St. Petersburg, St. Petersburg, 190008, Russia.
*Corresponding Author: Yong Chen. Email: .
Abstract
In order to solve the problem of data island in the safety management of offshore oil and gas fields, take full advantage of data for subsequent analysis and development, and support production safety management of oil and gas fields, the MES, which is maturely applied in manufacturing and downstream production of CNOOC (China National Offshore Oil Corporation), is introduced by the petroleum administration at the eastern South China sea. The system adopts the real-time database and relational database to collect the scattered structured data, such as evidence information of offshore oil and gas production facilities personnel, on-site hidden danger information and incident investigation report. Then a unified secure data center platform is established for every operating area and production site, and the critical safety data of production sites can be centrally managed. This system has the functions of lawful real-time supervision of personnel qualification, online supervision and trend analysis of hidden dangers, and centralized management and sharing of incident investigation report. By applying the MES system in security management, the process of safety service becomes standardized and modularized, the management process becomes normalized, and the efficiency and effect of overall management is improved.
Keywords
Certificate management, hidden hanger management, MES system, accident management
Cite This Article
Y. . Chen, L. . Cui and C. . Wang, "T application of mes system in the safety management of offshore oil and gas fields," Journal of Quantum Computing, vol. 1, no.1, pp. 41–48, 2019.
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