石油炼制与化工
• 基础研究 • 上一篇 下一篇
任连岭1,熊春华1,田高友1,龚冬梅2
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摘要: 采用相关分析法考察汽油调合组分和汽油成品油中各种烃类物质间的相互关系以及烃类物质与汽油储存安定性指标的相关性;并用逐步线性回归方法,建立储存安定性指标与烃类组成关系的回归模型,根据回归模型确定了对储存安定性指标产生影响的主要烃类物质,芳烃对辛烷值、10%蒸发温度、50%蒸发温度、密度、色度影响最大;烯烃尤其是正构烯烃和异构烯烃对90%蒸发温度、酸度、胶质、诱导期、碘值、饱和蒸气压影响最大。F检验结果表明,回归模型显著,可以用来预测汽油储存安定性。
关键词: 汽油, 储存安定性, 烃族组成, 逐步线性回归, 相关分析, 回归模型
Abstract: Gasoline is composed of various kinds of hydrocarbons, including n-alkane, isoparaffin, naphthenic hydrocarbon, aromatic hydrocarbon, isoolefine, normal olefin, cyclic olefin and diolefin. Correlation analysis method is adopted to investigate the interrelation of various kinds of hydrocarbons in gasoline blending components or gasoline products and the gasoline storage stability indexes. Furthermore, a regression model of storage stability indexes and hydrocarbon group compositions is established by stepwise linear regression method. According to the regression model the main hydrocarbon compounds affecting the indexes of gasoline storage stability are as follows: aromatic hydrocarbons greatly influence the octane number, 10% evaporating temperature, 50% evaporating temperature, density and colourity; olefins, especially isoolefine and normal olefin, influence 90% evaporating temperature, acidity, gum, induction period, iodine value and saturated vapor pressure most. The results of F inspection show that the regression model with high significant can be used to predict the storage stability of domestic gasoline product.
Key words: Gasoline, Storage Stability, hydrocarbon group composition, Stepwise Linear Regression Method, Correlation Analysis, Regression Model
任连岭1 ,熊春华1 ,田高友1 ,龚冬梅2 . 汽油储存安定性与烃族组成关系的研究[J]. 石油炼制与化工, doi: .
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