• DocumentCode
    3132779
  • Title

    Study of a Method Model to Determine Oil-Gas Pipeline Reliability Based on Fuzzy Mathematics

  • Author

    Xiao-wan, Wang ; Zheng-shan, Luo

  • Author_Institution
    Sch. of Manage., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    353
  • Lastpage
    357
  • Abstract
    The concept of the target reliability, technical connotation and significance of pipeline are interpreted in this paper based on the national and international research actuality, and the existing problems of pipeline failure consequence severity graded by a single factor is pointed out. The several important influence factors to gas pipeline target reliability are analyzed particularly. The assessment system based on the fuzzy mathematics theory is pointed out and the influence of these factors to the target probability of gas pipelines is assessed. The relation between the failure severity of pipelines and the gas pipeline target reliability is studied. The concrete confirming method of pipeline target reliability is established in this paper. Lastly, the quantificational research of oil-gas pipeline reliability on the basis of fuzzy mathematics theory is proved to be feasible through examples and is applicable in project, and could offer scientific foundation to the management and maintenance of gas pipeline.
  • Keywords
    fuzzy set theory; maintenance engineering; management; petroleum industry; pipelines; production engineering computing; assessment system; concrete confirming method; fuzzy mathematics theory; gas pipeline maintenance; gas pipeline management; gas pipeline target reliability; gas pipelines; international research; oil-gas pipeline reliability; pipeline failure; target probability; Educational institutions; Mathematics; Pipelines; Reliability theory; Risk management; Acceptable failure probability; Fuzzy mathematics; Gas pipeline; Target reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.101
  • Filename
    6137655