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Permanent link (DOI): https://doi.org/10.7939/R34D88

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Predicting the age of weathered hydrocarbon mixtures Open Access

Descriptions

Other title
Subject/Keyword
PLS-DA
Gasoline
LWR
Integration Template
Weathering
GC×GC
Flow modulation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Zorzetti, Brianne
Supervisor and department
Harynuk, James (Chemsitry)
Examining committee member and department
McCreery, Richard (Chemistry)
Mendoza, Carl (Earth and Atmospheric Sciences)
Department
Department of Chemistry
Specialization

Date accepted
2011-07-22T19:37:06Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
Predicting the time for which a petroleum mixture has been exposed to weathering effects could have many applications. Historically, research on the evaporation rates of hydrocarbon mixtures has focused on forensic oil spill identification. Relatively little attention has focused on estimating the exposure time for a weathered petroleum sample based on the observed composition at a given time, and assuming a prior composition. A hierarchical application of multivariate techniques was used to estimate the time for which a hydrocarbon mixture was exposed to evaporative weathering. Partial least squares discriminant analysis (PLS‐DA) could predict whether a sample was relatively fresh (< 12 hours exposure time) or highly weathered (> 20 hours exposure time). Subsequent regression models for these classes were evaluated for accuracy using the root mean square error of prediction (RMSEP). One nonlinear regression model in particular was found to satisfactorily estimate the age of weathered petroleum samples.
Language
English
DOI
doi:10.7939/R34D88
Rights
License granted by Brianne Zorzetti (zorzetti@ualberta.ca) on 2011-07-21T03:47:03Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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