Predicting the age of weathered hydrocarbon mixtures

  • Author / Creator
    Zorzetti, Brianne
  • 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.

  • Subjects / Keywords
  • Graduation date
    Fall 2011
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
  • Institution
    University of Alberta
  • Degree level
  • Department
  • Supervisor / co-supervisor and their department(s)
  • Examining committee members and their departments
    • McCreery, Richard (Chemistry)
    • Mendoza, Carl (Earth and Atmospheric Sciences)