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
Link To Document :
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