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Content Provider | IEEE Xplore Digital Library |
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Author | Zhengfang Wang Shuling Liu Hui Qi Shiwei Li |
Copyright Year | 2009 |
Abstract | Corrosion is a serious problem on the first atmospheric distillation unit when the plant refines high-acid crude oil from Shengli Oil Field. To measure and predict the corrosion and related factors is significant tasks in refinery. The GM(1,1) model only can predict the sequence of exponential law, scribe the monotonic change event. Took acid value as sample, used the data from the first to 6th month, established GM(2,1) model and Verhulst to predict the data from 7th to 9th. For the GM(2,1) model, the maximum relative error is 11.797%, the mean relative error is 7.2269%, and the mean relative error of prediction is 13.2006%. For the Verhulst model, the maximum relative error is 7.0037%, the mean relative error is 3.1402%, and the mean relative error of prediction is 10.5732%. the conclusion is that the Verhulst model is better than DGM model and can be used for corrosion prediction. |
Starting Page | 287 |
Ending Page | 290 |
File Size | 369292 |
Page Count | 4 |
File Format | |
ISBN | 9780769537351 |
DOI | 10.1109/FSKD.2009.365 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-08-14 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Predictive models Iron Electrical resistance measurement Mechanical engineering Petroleum Atmospheric measurements Corrosion inhibitors Refining Electric variables measurement Verhulst model DGM model Protection grey system theory |
Content Type | Text |
Resource Type | Article |
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