Title: | Screening of oil sources by using comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry and multivariate statistical analysis |
Author(s): | Zhang W; Zhu S; He S; Wang Y; |
Address: | "State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China; Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China. State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China; Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China. Electronic address: shukuizhu@126.com. Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China. State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China. Electronic address: yx.wang@cug.edu.cn" |
DOI: | 10.1016/j.chroma.2014.12.068 |
ISSN/ISBN: | 1873-3778 (Electronic) 0021-9673 (Linking) |
Abstract: | "Using comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GCxGC/TOFMS), volatile and semi-volatile organic compounds in crude oil samples from different reservoirs or regions were analyzed for the development of a molecular fingerprint database. Based on the GCxGC/TOFMS fingerprints of crude oils, principal component analysis (PCA) and cluster analysis were used to distinguish the oil sources and find biomarkers. As a supervised technique, the geological characteristics of crude oils, including thermal maturity, sedimentary environment etc., are assigned to the principal components. The results show that tri-aromatic steroid (TAS) series are the suitable marker compounds in crude oils for the oil screening, and the relative abundances of individual TAS compounds have excellent correlation with oil sources. In order to correct the effects of some other external factors except oil sources, the variables were defined as the content ratio of some target compounds and 13 parameters were proposed for the screening of oil sources. With the developed model, the crude oils were easily discriminated, and the result is in good agreement with the practical geological setting" |
Keywords: | Biomarkers/analysis Cluster Analysis Gas Chromatography-Mass Spectrometry/methods Multivariate Analysis Petroleum/*analysis Principal Component Analysis Volatile Organic Compounds/*analysis GCxGC/TOFMS Oil screening Petroleum; |
Notes: | "MedlineZhang, Wanfeng Zhu, Shukui He, Sheng Wang, Yanxin eng Research Support, Non-U.S. Gov't Netherlands 2015/01/13 J Chromatogr A. 2015 Feb 6; 1380:162-70. doi: 10.1016/j.chroma.2014.12.068. Epub 2015 Jan 2" |