• DocumentCode
    3410897
  • Title

    Grey analysis of corrosion on the overhead condensing system

  • Author

    Wang, Zhengfang ; Liu, Shuling ; Li, Shiwei

  • Author_Institution
    Inst. of Mech. Eng., Shandong Univ., Ji´´nan, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    233
  • Lastpage
    235
  • Abstract
    Corrosion is a serious problem in atmospheric distillation unit when the plant refines high-acid crude oil from Shengli Oil Field. How to measure and predict the corrosion and related factors is a significant task in refinery. The GM (1, 1) model can only predict the sequence of exponential law, scribe the monotonic change event. We take acid values as a sample, use the data from the first to 6th month, and establish GM (2, 1) model and Verhulst model to predict the data from 7th to 9th month. For the GM (2, 1) model, the maximum relative error is 11.8%, the mean relative error is 7.2%, and the mean relative error of prediction data is 13.2%. For the Verhulst model, the maximum relative error is 7.0%, the mean relative error is 3.1%, and the mean relative error of prediction data is 10.6%. The conclusion is that the Verhulst model is better than DGM model and the Verhulst model can be used for corrosion pate prediction.
  • Keywords
    corrosion; distillation equipment; grey systems; oil refining; Shengli oil field; Verhulst model; atmospheric distillation unit; corrosion pate prediction; grey analysis; high-acid crude oil; monotonic change event; overhead condensing system; Atmospheric modeling; Corrosion inhibitors; Electric variables measurement; Electrical resistance measurement; Intelligent systems; Iron; Mechanical engineering; Petroleum; Predictive models; Refining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408317
  • Filename
    5408317