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Data visualization for the characterization of naphthenic acids within petroleum samples

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Barrow, Mark P., Headley, John V., Peru, Kerry M. and Derrick, Peter J. . (2009) Data visualization for the characterization of naphthenic acids within petroleum samples. Energy & Fuels, Vol.23 (No.5). pp. 2592-2599. ISSN 0887-0624

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Official URL: http://dx.doi.org/10.1021/ef800985z

Abstract

Fourier transform ion cyclotron resonance mass spectrometry has made a significant contribution to the characterization of naphthenic acids in petroleum samples. The characterization of naphthenic acids is of particular interest due to their believed involvement in corrosion and deposit formation, as welt as their toxicity toward aquatic organisms. Analysis of a complex mixture, such as a petroleum sample, can present challenges in terms of data analysis and visualization. A variety of graphical methods for representing the data are evaluated, and the use of a heat map, a method primarily used within molecular biology, is highlighted. An Athabasca oil sands sample was characterized and compounds of the empirical formula CnH2n+O-z(x), where x = 2-5, were observed. The range of oxygen content is of particular relevance in light of other research, which has shown that the total acid number of a petroleum sample is not a reliable method for evaluating the acid content, as not all of the acids are monoprotic.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TP Chemical technology
Divisions: Faculty of Science > Chemistry
Journal or Publication Title: Energy & Fuels
Publisher: American Chemical Society
ISSN: 0887-0624
Date: May 2009
Volume: Vol.23
Number: No.5
Number of Pages: 8
Page Range: pp. 2592-2599
Identification Number: 10.1021/ef800985z
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Program of Energy Research and Development
URI: http://wrap.warwick.ac.uk/id/eprint/27699

Data sourced from Thomson Reuters' Web of Knowledge

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