• DocumentCode
    569809
  • Title

    Research on the Real-Time Leak Monitoring Model of the Long Distance Natural Gas Pipeline

  • Author

    Huachang, Niu ; Hongbing, Zhang ; Chuansheng, Chen

  • Author_Institution
    Sichuan to East Gas Transm. Pipeline Co., Sinopec Natural Gas, Wuhan, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    1368
  • Lastpage
    1371
  • Abstract
    At present, there are many kinds of gas pipeline leak detection methods at home and abroad. In this paper, combined with the actuality of pipeline in China and the experience of international practice of detection methods and computer automation instrumentations, real-time leak monitoring model of the long distance natural gas pipeline was researched. In order to adapt to the needs of simulation, under strictly meeting the stability requirements of the characteristic line, the premise of the grid layout in the form of the characteristic line was changed, and the solution of transformed equations was given. Leakage point and the amount of leakage were determined. And the mathematical model of leak detection used in this chapter is also applicable to the judge and positioning in the pipeline blockage accident.
  • Keywords
    accidents; condition monitoring; gas industry; pipelines; transforms; China; characteristic line; computer automation instrumentation; gas pipeline leak detection method; grid layout; long distance natural gas pipeline; pipeline blockage accident; realtime leak monitoring model; transform equation; Adaptation models; Computational modeling; Equations; Leak detection; Mathematical model; Natural gas; Pipelines; amount of leakage; gas pipeline; leakage point; numerical calculation; real-time leak monitoring model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.262
  • Filename
    6301420