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基于石油烃特征比值的多元统计方法进行原油鉴别
引用本文:包木太,孙培艳,崔文林,高振会. 基于石油烃特征比值的多元统计方法进行原油鉴别[J]. 分析化学, 2008, 36(4): 483-488
作者姓名:包木太  孙培艳  崔文林  高振会
作者单位:1. 中国海洋大学海洋化学理论与工程技术教育部重点实验室,青岛,266100
2. 国家海洋局海洋溢油鉴别与损害评估技术重点实验室,青岛,266033;国家海洋局北海环境监测中心,青岛,266033
摘    要:基于原油中有生源意义的生物标志物及原油特征多环芳烃的特征比值,采用主成分分析和聚类分析法,对渤海3个不同区块的4种原油,以及其中1种原油风化7d、15d和30d的风化油样和陆地油田1和陆地油田2各1种原油进行鉴别。结果显示:利用主成分分析和聚类分析可以实现大量油样的快速分类鉴别,不仅可以对差异较大的原油进行区分,还可以对原始原油及其风化原油进行很好分辨,但对差异较小的原油,两种分析方法的分辨能力仍有一定局限性。

关 键 词:特征比值  主成分分析  聚类分析  鉴别
修稿时间:2007-08-09

Crude Oil Identification Using Multistatistical Analysis Based on Characteristic Ratios
Bao Mu-Tai,Sun Pei-Yan,Cui Wen-Lin,Gao Zheng-Hui. Crude Oil Identification Using Multistatistical Analysis Based on Characteristic Ratios[J]. Chinese Journal of Analytical Chemistry, 2008, 36(4): 483-488
Authors:Bao Mu-Tai  Sun Pei-Yan  Cui Wen-Lin  Gao Zheng-Hui
Abstract:Four crude oil samples in 3 different blocks in Bohai including 3 different weathered samples of 1 crude oil,and 2 differen t crude oil samples in terrestrial oil fields were identified based on the bioma rkers and some characteristic ratios of polycyclic aromatic hydrocarbon using pr inciple component analysis(PCA)and clustering analysis.The results showed tha t large numbers of crude oil could be quickly classified identification using pr inciple component analysis and clustering analysis,it could be used to identify to the crude oils and their weathered samples,but to the crude oil samples of little difference,the two analysis methods had some constraint.
Keywords:Characteristic ratio  principal component analysis  clustering analysis  identification
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