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Laser-induced Fluorescence with Multivariate Analysis in Characterizing Crude Oils from Some Selected Oil Fields in Ghana

  • Calvin Kwesi Gafrey
  • Robert Wilson
  • George Amoako
  • Benjamin Anderson

Physical Science International Journal, Page 8-20
DOI: 10.9734/psij/2021/v25i630262
Published: 9 October 2021

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Abstract


Developing scientific practices and procedures for finding the characteristics of various crude oils from different geological sources based on fluorescence spectra fingerprints would be beneficial to the petroleum industry. Laser-Induced Fluorescence (LIF) has gained relevance worldwide because of its advantages in crude oil analysis. Presently, the use of this technique in the characterization of crude oils from the oil fields in Ghana has not been studied. The study employed the LIF technique to determine some physical qualities of crude oils from Jubilee Oil Field, Tweneboa Enyenra Ntomme (TEN) Oil Field and Saltpond Oil Field. Specifically, this study used multivariate analysis methods to link the spectral signatures of the crude oils to their properties for identification and classification. The LIF technique was applied on four crude oil samples. Fluorescence spectra were obtained using a continuous wave 405.0 nm laser. The excitation source revealed five (5) peak wavelengths after deconvolution. Using Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Hierarchical Cluster Analysis (HCA), the crude oil samples were classified accurately.


Keywords:
  • Crude oil
  • laser-induced fluorescence
  • principal component analysis
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  • Review History

How to Cite

Kwesi Gafrey, C., Wilson, R., Amoako, G., & Anderson, B. (2021). Laser-induced Fluorescence with Multivariate Analysis in Characterizing Crude Oils from Some Selected Oil Fields in Ghana. Physical Science International Journal, 25(6), 8-20. https://doi.org/10.9734/psij/2021/v25i630262
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References

Gary JH, Glenn EH, Kaiser MJ. Petroleum Refining: Technology and Economics, Fifth Edition; 2007.

ISBN 9780849370380.

Evdokimov IN, Losev AP. Chem Technol Fuel Oils. 2007;43:140.
Available:https://doi.org/10.1007/s10553-007-0027-5.

Daućik P, Zidek Z, Kalab P. Determination of Sulphur Content in Fuels. Chem. Papers 1998; 52(5):667-670.

Ellingsen L, Fery-Forgues S. Application de la spectrosco-pie de fluorescence à L'étude du pétrole: le défi de la complexité. Revue de l'institut Francais du Pétrole. 1998;53(2):201-216.

El-Hussein A, Marzouk A. Characterization of Petroleum Crude Oils using Laser-Induced Fluorescence. J Pet Environ Biotechnol 2015;6:5.

Khuhawar MY, Aslam MM, Jahangir T. Determination of Metal Ions in Crude Oils, Crude Oil Emulsions- Composition Stability and Characterization, Manae El-Sayed, Abdul-Raouf (Ed.), In Tech; 2012.
DOI: 10.5772/36945.

Martinez, WL, Martinez AR. Exploratory Data Analysis with MATLAB. Computer Science and Data Analysis Series, Chapman & Hall/CRC; 2005.

Ozaki Y, McClure WF, Christy, AA. Near-infrared spectroscopy in food science and Technology: John Wiley & Sons, Ltd; 2006.

Amuah CLY. Spectroscopic Studies of Some Selected Anti-Malarial Herbal Plants Sample Combined with Multivariate Data Analysis. PhD Thesis, Laser and Fibre Optics Centre (LAFOC), University of Cape Coast; 2020.

Smith TB. Deconvolution of Ion velocity distributions from Laser-Induced Fluorescence Spectra of Xenon Electrostatic Thruster Plumes. PhD Dissertation, Aerospace Engineering, University of Michigan; 2003.

Hotelling H. Analysis of complex statistical variables into principal components. Journal of Educational Psychology. 1933;24(6):417.

McIntyre, SM, Ma Q, Burritt DJ, Oey I, Gordon KC, Miller SJF. Vibrational spectroscopy and chemometrics for quantifying key bioactive components of various plum cultivars grown in New Zealand. J. Raman Spectrosc. 1-15: John Wiley & Sons, Ltd; 2020.

Jolliffe IT. Choosing a subset of Principal Components or variables. Principal Component Analysis, 2002;111-149.

Jackson JE. Principal Components and Factor Analysis: Part II- Additional topics related to principal components. Journal of Quality Technology, 1981; 13(1):46-58.

Amuah CLY, Eghan, JM, Anderson B, Adueming PO-W, Opoku-Ansah J. Laser-Induced Fluorescence in combination with Multivariate analysis classifies anti-malarial herbal plants. Paper presented at the Frontiers in Optics, Washington, D.C; 2017.

Berrueta L, Alonso-Salces R, Héberger K. Supervised pattern recognition in food analysis. J Chromatogr A. 2007;1158(1-2):196-214.

Steffens J, Landulfo E, Courrol LC, Guardani R. Application of Fluorescence to the study of crude petroleum. Journal of Fluorescence. 2011;21:859-864.

Ryder AG, Nigel JF, Owens P. Frequency domain fluorescence lifetime study of crude petroleum oils. J. Fluoresc. 2008; 18(5):997-1006.

Schultze R, Lemle M, Löhmannsröben HG. Laser-Induced Fluorescence (LIF) Spectroscopy for the In situ analysis of petroleum product contaminated soils. Springer, Heidelberg, 2004;79-98.

Opoku-Ansah J. Optical Studies and Characterization of Plasmodium Falciparum Infected Human Red Blood Cells. PhD. Thesis, University of Cape Coast; 2016.

Camagni P, Colombo G, Koechler C, Pedrini A, Omenetto N, Rossi G. IEEE Trans. Geosc. Remote Sensing GE-26,22; 1988.

Rayner DM, Szabo AG. Appl. Opt. 1978;17:1624.
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