• DocumentCode
    3075437
  • Title

    Grey Correlation Analysis of Corrosion on the First Oil Atmospheric Distillation Equipment

  • Author

    Wang, Zhengfang ; Wang, Weiqiang ; Qi, Hui

  • Author_Institution
    Sch. of Mech. Eng., Shandong Univ., Ji´´nan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 July 2009
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    Corrosion is serious on the first atmospheric distillation unit when the plant processes high-acid crude oil from Shengli oil field. Measured the corrosion pate on the top of atmospheric distillation tower with electric resistance probe every two month, monitored sulfur value, salt value, salt value after desalt, acid value in crude oil, iron ion in product container and pH value in cooling water every month. Created grey data sequence with equal weight whitenization and stepwise ratio generation method, carried on grey correlation analysis, calculated absolute, relative and synthetic degree of incidence, carried on predominance analysis too. The conclusion is that the main factor to corrosion is acid value, and then is salt value after desalt, pH value, content of salt, sulphur value and iron ion value. Getting rid of salt from crude oil as possible is benefit to equipment, and monitoring salt value after desalts, pH value could predict corrosion.
  • Keywords
    corrosion; distillation equipment; grey systems; regression analysis; corrosion; electric resistance probe; grey correlation analysis; oil atmospheric distillation equipment; stepwise ratio generation method; Atmospheric measurements; Corrosion; Distillation equipment; Electric resistance; Electric variables measurement; Electrical resistance measurement; Iron; Monitoring; Petroleum; Poles and towers; correlation analysis; corrosion; degree of incidence; grey system theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering, 2009. ICIE '09. WASE International Conference on
  • Conference_Location
    Taiyuan, Shanxi
  • Print_ISBN
    978-0-7695-3679-8
  • Type

    conf

  • DOI
    10.1109/ICIE.2009.16
  • Filename
    5211369