【摘要】 对原油、燃料油的鉴别方法进行了研究。以来自不同国家和地区的30个原油样品以及不同产地、不同种类的24个燃料油样品中的正构烷烃(n-C7～30)、植烷(Ph)、姥鲛烷(Pr)的含量构成训练集。借助SPSS 16.0进行费谢尔(Fisher)判别分析,建立Fisher判别函数。将判别变量值代入后,得到样本的空间位置,再计算样本至各组重心的距离,据此判断分类情况。结果表明,Fisher判别法可以很好地用于原油和燃料油的鉴别,具有快速、准确等特点。更多还原

【Abstract】 Species identification of crude oil and fuel oil was studied.The contents of 30 crude oil samples and 24 fuel oil samples of n-alkanes(n-C7-30),Ph and Pr from different countries and regions with different kinds were collected to constitute the training set.By running the SPSS 16.0 software,classification function coefficients were gotten and the discrimination function was built.The discrimination variables value of unknown species of oil was plugged into the function to identify which class the sample belonging to according to distinguishing rule.The method is feasible,rapid and accuracy and can be used for discrimination of crude oil and fuel oil.更多还原