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本文应用GC/MS、GC/IRMS和EA/IRMS等方法对6种不同产地原油的特征比值,全油和正构烷烃组分的碳稳定同位素组成进行分析,研究不同产地原油的碳稳定同位素组成特征,并探讨其原因。结果显示,6种原油的C19+C20/(C19~C22)、OEP1和CPI13-22特征比值不存在显著性差异,不能作为区分这6种原油的有效指标。原油全样的δ~(13)C值差异明显,阿曼δ~(13)C值最轻为-33.4‰,巴西最重为-24.5‰,其余4种原油介于两者之间。GC/IRMS分析结果显示不同油种具有不同的碳稳定同位素组成特征,6种原油的正构烷烃δ~(13)C值和分布曲线明显不同。单因素方差分析结果显示除个别油样外,不同原油两两之间全油δ~(13)C值和n C20的δ~(13)C值差异性显著(P<0.05)。实验结果表明,特征比值和碳稳定同位素组成相结合能更加有效的区分不同种类原油,油品中同位素组成特征差异可为原油种类鉴别和溯源提供一个有效的技术支撑。
In this paper, the GC / MS, GC / IRMS and EA / IRMS methods were used to analyze the characteristic ratios, the stable carbon isotope compositions of oil and n-alkanes in six different crude oil sources to study the carbon stable isotopic compositions , And explore the reason. The results show that there is no significant difference in the C19 + C20 / (C19 ~ C22), OEP1 and CPI13-22 characteristics of the six crude oils, which can not be used as effective indexes to distinguish the six crude oils. The difference of δ ~ (13) C value of crude oil sample is obvious. The δ ~ (13) C value of Oman is the lightest of -33.4 ‰, the highest of -24.5 ‰ in Brazil and the other of the four crude oils in between. The results of GC / IRMS showed that different oils had different characteristics of carbon stable isotope composition. The δ ~ (13) C values and distribution curves of n-alkanes were significantly different among the six crude oils. The results of one - way ANOVA showed that except for some oil samples, the differences of δ 13 C values and δ C 13 C values of different oils were significantly different (P <0.05). The experimental results show that the combination of feature ratio and carbon stable isotope composition can effectively distinguish different types of crude oil, and the differences in isotopic compositions of oil products can provide an effective technical support for the identification and traceability of crude oil species.