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Identifying oil families using Malcom (SLB) software package

Koukounya Anna

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URIhttp://purl.tuc.gr/dl/dias/824497C2-65DC-442A-A000-7B95F96C77D5-
Identifierhttps://doi.org/10.26233/heallink.tuc.42493-
Languageen-
Extent93 pagesen
TitleIdentifying oil families using Malcom (SLB) software packageen
CreatorKoukounya Annaen
CreatorΚουκουνυα Ανναel
Contributor [Thesis Supervisor]Pasadakis Nikosen
Contributor [Thesis Supervisor]Πασαδακης Νικοςel
Contributor [Committee Member]Varotsis Nikolaosen
Contributor [Committee Member]Βαροτσης Νικολαοςel
Contributor [Committee Member]Christopoulos Dionysiosen
Contributor [Committee Member]Χριστοπουλος Διονυσιοςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Mineral Resources Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Μηχανικών Ορυκτών Πόρωνel
Content SummaryPetroleum 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. en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-19-
Date of Publication2015-
SubjectGeochemical reaction modelingen
SubjectModeling, Geochemicalen
SubjectReaction modeling, Geochemicalen
Subjectgeochemical modelingen
Subjectgeochemical reaction modelingen
Subjectmodeling geochemicalen
Subjectreaction modeling geochemicalen
Bibliographic CitationAnna Koukounya, "Identifying oil families using Malcom (SLB) software package", Diploma Work, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2015en

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