Multivariate statistical methods applied to interpretation of saturated biomarkers (Velebit oil field, se Pannonian basin, Serbia)
| Autor: | Tatjana Solevic, Dragomir K. Vitorović, Gorica Mandic, Jan Schwarzbauer, Branimir Jovančićević, Ksenija Stojanović |
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| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Pannonian basin
Analytical chemistry Mineralogy factor analysis steranes 010501 environmental sciences 010402 general chemistry Disease cluster 01 natural sciences lcsh:Chemistry cluster k-means and ward analyses Ward method cluster K-Means and Ward analyses crude oils classification Oil field 0105 earth and related environmental sciences General Chemistry Linear discriminant analysis discriminant analysis 0104 chemical sciences lcsh:QD1-999 source and maturation parameters Multivariate statistical terpanes Geology |
| Zdroj: | Journal of the Serbian Chemical Society, Vol 71, Iss 7, Pp 745-769 (2006) Journal of the Serbian Chemical Society |
| ISSN: | 1820-7421 0352-5139 |
| Popis: | 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 and Ward 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. |
| Databáze: | OpenAIRE |
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