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Multivariate statisticalmethods applied to interpretation of saturated biomarkers (Velebit oil field, SE Pannonian Basin, Serbia)

Authors :
TATJANA SOLEVIC
KSENIJA STOJANOVIC
BRANIMIR JOVANCICEVIC
GORICA MANDIC
JAN SCHWARZBAUER
DRAGOMIR VITOROVIC
Source :
Journal of the Serbian Chemical Society, Vol 71, Iss 7, Pp 745-769 (2006)
Publication Year :
2006
Publisher :
Serbian Chemical Society, 2006.

Abstract

Twenty-five crude oils originating from the Velebit oil field (SE Pannonian Basin), the most important oil field in Serbia, were investigated. Saturated biomarkers (n-alkanes, isoprenoids, steranes and triterpanes) were analyzed by gas chromatography-mass spectrometry (GC-MS). Based on the distribution and abundance of these compounds, a large number of source and maturation parameters were calculated, particularly those most often used in correlation studies of oils. The examined samples were classified according to their origin and level of thermal maturity using factor, cluster and discriminant analyses. According to the source and maturation parameters, combined factor and cluster analyses using the Ward method enabled the categorization of the investigated oils into three groups. The cluster Ward analysis was shown to be of greater susceptibility and reliability. However, in addition to the two aforementioned methods, K-Means cluster analysis and discriminant analysis were shown to be necessary for a more precise and detailed categorization in the case of a large number of samples in one group. Consequently, it was concluded that factor and cluster K-Means andWard analyses can generally be used for the interpretation of saturated biomarkers in correlation studies of oils, but the observed results have to be checked, i.e., confirmed by discriminant analysis.

Details

Language :
English
ISSN :
03525139 and 75936976
Volume :
71
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Journal of the Serbian Chemical Society
Publication Type :
Academic Journal
Accession number :
edsdoj.0a3fd671249a4f759369764ae85b4c06
Document Type :
article