首页> 外文会议>Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09 >Grey Prediction of Corrosion on the First Oil Atmospheric Distillation Unite
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Grey Prediction of Corrosion on the First Oil Atmospheric Distillation Unite

机译:第一次石油常压蒸馏装置腐蚀的灰色预测

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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.
机译:当工厂从胜利油田提炼高酸原油时,腐蚀是第一个常压蒸馏装置上的严重问题。测量和预测腐蚀及相关因素是炼油厂的重要任务。 GM(1,1)模型只能预测指数律的顺序,刻出单调变化事件。以酸值为样本,使用了第一个月至第六个月的数据,建立了GM(2,1)模型,并用Verhulst预测了第七至九个月的数据。对于GM(2,1)模型,最大相对误差为11.797%,平均相对误差为7.2269%,预测的平均相对误差为13.2006%。对于Verhulst模型,最大相对误差为7.0037%,平均相对误差为3.1402%,预测的平均相对误差为10.5732%。结论是Verhulst模型优于DGM模型,可用于腐蚀预测。

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