SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA)

Document Type : Original Article

Authors

1 Department of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran

2 a Department of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran

3 Petroleum Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran.

Abstract

Crude oil is typically categorized into four main fractions: saturates, aromatics, resins, and asphaltenes, collectively referred to as SARA. To enable the rapid identification of these fractions, a novel on-site approach is introduced based on laser-induced fluorescence (LIF) spectroscopy. This method utilizes both the solvent (with dichloromethane, DCM) densitometry and quantum efficiency as key analytical parameters. Several crude oil samples are analyzed from different oilfields in the Persian Gulf, with optical parameters of interest i.e., peak concentration (Cp) and quantum efficiency (QE) giving by the experimental data. The relation between these parameters and crude oil fractions is attested through analysis of variance (ANOVA). Then, the predictive statistical models are developed to estimate the values of the crude oil fractions. The findings demonstrate that these predictive models exhibit high accuracy compared to the standard methods (ASTM D 6560 & ASTM D 4124). In fact, the proposed technique significantly reduces the testing time to less than 30 minutes.

Keywords

Advances in Energy Sciences and Technologies
Volume 1, Issue 1
June 2025
Pages 21-27

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History

  • Receive Date: 17 December 2025
  • Revise Date: 20 January 2025
  • Accept Date: 22 January 2025
  • Publish Date: 01 June 2025

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