Relationships between SARA fractions of conventional oil, heavy oil, natural bitumen and residues

Relationships between SARA fractions of conventional oil, heavy oil, natural bitumen and residues Fuel 216 (2018) 330–340 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Full Length Article Relationships between SARA fractions of conventional oil, heavy oil, natural bitumen and residues Svetlana Rudyk Oil and Gas Research Center, Sultan Qaboos University, Muscat, Oman GR APHICAL A BSTRACT ARTICLE I NFO ABSTRACT Keywords: A number of indices generated from SARA analyses data are used for characterization of petroleum mixtures Saturates (e.g. colloidal instability index I = (As + S)/(R + A) and asphaltene index I = (As + R)/(S + A)). Knowledge c a Aromatics of relationships between SARA fractions is necessary for selection of indices, understanding of chemical con- Resins tinuum from light to heavy compositions and prediction of properties such as density, viscosity, boiling tem- Asphaltenes perature, asphaltene stability, and others. Index SARA analyses data of 230 samples of conventional oil, heavy oil, oil sand, natural asphalt, residues obtained through refinery processes, and bitumen blends from 50 publications are compared. For the exception of con- ventional oil and bitumen blends, data of SARA fractions taken in pairs follow similar lines with the slopes of k = ± 1 when plotted as Y vs. X for heavy oil, natural bitumen and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuel Elsevier

Relationships between SARA fractions of conventional oil, heavy oil, natural bitumen and residues

Fuel , Volume 216 – Mar 15, 2018

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0016-2361
D.O.I.
10.1016/j.fuel.2017.12.001
Publisher site
See Article on Publisher Site

Abstract

Fuel 216 (2018) 330–340 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Full Length Article Relationships between SARA fractions of conventional oil, heavy oil, natural bitumen and residues Svetlana Rudyk Oil and Gas Research Center, Sultan Qaboos University, Muscat, Oman GR APHICAL A BSTRACT ARTICLE I NFO ABSTRACT Keywords: A number of indices generated from SARA analyses data are used for characterization of petroleum mixtures Saturates (e.g. colloidal instability index I = (As + S)/(R + A) and asphaltene index I = (As + R)/(S + A)). Knowledge c a Aromatics of relationships between SARA fractions is necessary for selection of indices, understanding of chemical con- Resins tinuum from light to heavy compositions and prediction of properties such as density, viscosity, boiling tem- Asphaltenes perature, asphaltene stability, and others. Index SARA analyses data of 230 samples of conventional oil, heavy oil, oil sand, natural asphalt, residues obtained through refinery processes, and bitumen blends from 50 publications are compared. For the exception of con- ventional oil and bitumen blends, data of SARA fractions taken in pairs follow similar lines with the slopes of k = ± 1 when plotted as Y vs. X for heavy oil, natural bitumen and

Journal

FuelElsevier

Published: Mar 15, 2018

References

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