Bohai crude oil identification by gas chromatogram fingerprinting quantitative analysis coupled with cluster analysis

作     者：SUN Peiyan BAO Mutai GAO Zhenhui LI Mei ZHAO Yuhui WANG Xinping ZHOU Qing WANG Xiulin 

作者机构：Key Laboratory of Marine Chemistry Theory and Technology of Ministry of Education Ocean University of China Qingdao266003 China North China Sea Monitoring Center State Oceanic Administration Qingdao 266033 China 

出 版 物：《Acta Oceanologica Sinica》 (海洋学报（英文版）)

年 卷 期：2006年第25卷第5期

页      面：55-62页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 082803[工学-农业生物环境与能源工程] 07[理学] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 0804[工学-仪器科学与技术] 0713[理学-生态学] 

基　　金：the National Natural Science Foundation of China under contract No.49976027 the Important Topic of Scientific Research of the State 0ceanic Administration, China, on the construction system of oil fingerprinting database and the key technology (from 2004 to 2005 ) 

主　　题：oil fingerprinting identification gas chromatogram normal paraffin hydrocarbons distribution pattern ratio cluster analysis 

摘      要：By gas chromatogram, six crude oils fingerprinting distributed in four oilfields and four oil platforms were analyzed and the corre- sponding normal paraffin hydrocarbon （ including pristane and phytane） concentration was obtained by the internal standard methed. The normal paraffin hydrocarbon distribution patterns of six crude oils were built and compared. The cluster analysis on the normal paraffin hydrocarbon concentration was conducted for classification and some ratios of oils were used for oils comparison. The results indicated： there was a clear difference within different crude oils in different oil fields and a small difference between the crude oils in the same oil platform. The normal paraffin hydrocarbon distribution pattern and ratios, as well as the cluster analysis on the nomad paraffin hydrocarbon concentration can have a better differentiation result for the crude oils with small difference than the original gas chromatogram.