Identifying oil families using Malcom (SLB) software packageIdentifying oil families using Malcom (SLB) software package Διπλωματική Εργασία Diploma Work 2015-10-192015enPetroleum system definition and analysis use compositional links between petroleum and source kerogen. Petroleum families are commonly classified using qualitative or semi-quantitative methods based on compound presence or relative abundance, while petroleum-source rock correlation links a petroleum family to a stratigraphic unit, facies and/or locality containing the source kerogen. In this study, we apply multivariate statistical analysis to explore the oil family classification in Williston Basin using the Malcom (SLB) software package. In this study twenty oil samples, that belong to five previously defined compositional families (oil families A, B, C, D and E) obtained from the Williston Basin are analyzed. The objective is to utilize biomarkers distribution and apply classification methods using the Malcom Interactive Fluid Characterization Software to identify the oil families. Principal Component Analysis (PCA), Ascending Hierarchical Classification (AHC) and Sammon mapping were employed to explore compositional data from saturated hydrocarbon fractions and hopane biomarkers of the oil samples from Williston Basin petroleum province. The results indicate that an efficient classification of the oil families may be obtained when the AHC was used, with Ward’s aggregation method. In addition PCA also revealed a good classification scheme of the oil families, especially when the n-alkanes are used. Finally the Malcom (SLB) software package was found to be a useful tool in geochemical data treatment. http://creativecommons.org/licenses/by/4.0/Πολυτεχνείο Κρήτης::Σχολή Μηχανικών Ορυκτών ΠόρωνKoukounya_Anna_MSc_2015.pdfChania [Greece]Library of TUC2015-10-19application/pdf4.2 MBfree Koukounya Anna Κουκουνυα Αννα Pasadakis Nikos Πασαδακης Νικος Varotsis Nikolaos Βαροτσης Νικολαος Christopoulos Dionysios Χριστοπουλος Διονυσιος Πολυτεχνείο Κρήτης Technical University of Crete Geochemical reaction modeling Modeling, Geochemical Reaction modeling, Geochemical geochemical modeling geochemical reaction modeling modeling geochemical reaction modeling geochemical