1986
DOI: 10.1016/0025-326x(86)90250-x
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Classification of weathered crude oils using multimethod chemical analysis, statistical methods and SIMCA pattern recognition

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Cited by 34 publications
(7 citation statements)
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“…Urdal et al [8] classified 26 artificially weathered crude oils using four different statistical methods: SIMCA, absolute ranking, K nearest neighbor (KNN) T-test, and a statistical approach developed for identification of unknown oils by means of their fingerprint data. Classification of crude oils based on the asphaltene aggregation was reported using high-pressure NIR spectroscopy.…”
Section: Literature Surveymentioning
confidence: 99%
“…Urdal et al [8] classified 26 artificially weathered crude oils using four different statistical methods: SIMCA, absolute ranking, K nearest neighbor (KNN) T-test, and a statistical approach developed for identification of unknown oils by means of their fingerprint data. Classification of crude oils based on the asphaltene aggregation was reported using high-pressure NIR spectroscopy.…”
Section: Literature Surveymentioning
confidence: 99%
“…The ratios nC17/pristane and nC18/phytane have frequently been applied in studies of biodegradation, because of the much lower susceptibility of branched alkanes toward degradation (6,7). The ratios of 3-methylphenanthrene (3-MP) versus 2-methylphenanthrene (2-MP) and 4-methyldibenzothiophene (4-MDBT) versus 2-/3-methyldibenzothiophene (2-/3-MDBT), have to some extent been applied in studies of biodegradation (8,9).…”
Section: Biodegradationmentioning
confidence: 99%
“…These differences collectively indicate that these oils' source rocks had varying proportions of marine and terrestrial organic matter and had expelled oil at different heating conditions. This situation, for example, as might exist for a mystery oil spill in an offshore producing area where genetically similar crude oils are being produced from different production platforms, has led to the development of numerically or statistically based analysis of crude oils' primary (genetic) fingerprinting data in efforts to more quantitatively determine the degree of correlation between spill oils and candidate sources (e.g., Urdal et al, 1986;Stout et al, 2001;Daling et al, 2002;and Chapters 7 and 9 herein). However, it should be clear that such differences will provide a strong basis to positively or negatively correlate a spilled crude oil to its candidate sources and to recognize any contribution to potentially impacted sediments or biota.…”
Section: Primary Control -Crude Oil Genesismentioning
confidence: 99%