• DocumentCode
    131629
  • Title

    Research on Accident Inversion and Analysis Method of the Oil and Gas Pipeline SCADA System

  • Author

    He Huang ; Wei Zhang ; Guocheng Qi ; Shuai Ma ; Yi Yang ; Feng Yan ; Peng Chen

  • Author_Institution
    Beijing Oil & Gas Control Center, Petrochina, Beijing, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    It is more intuitive and clear to analyze and judge the pipeline accident with completely inversion and prediction. This paper studies accidents inversion and analysis methods for the oil and gas pipeline SCADA system. First, we save log data and real-time data section in the database and creating event scenes. Then, we use inversion with the accident realtime data section, log data and the timeline playback data. We also use an accident analysis method based on Apriori - a association make rules mining algorithm with specified features, to a preliminary diagnosis for the alarms, accidents, equipment new breakdowns, etc. In the industry experiment, this method is proved to be effective to help the dispatcher locate reason the accident spot and provide decision support for the analysis.
  • Keywords
    SCADA systems; data mining; industrial accidents; pipelines; production engineering computing; Apriori; SCADA system; accident analysis; accident inversion; accident realtime data section; alarms; association rules mining algorithm; decision support; equipment breakdowns; gas pipelines; oil pipelines; preliminary diagnosis; Automation; Mechatronics; Accident Inversion; Association Rules Mining; Equipment Topology Apriori; Oil and Gas Pipeline; SCADA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.121
  • Filename
    6802738