Skip to main content
Log in

Identification of Oil in Terms of the Parameters of its Electron Absorption Spectrum

  • Published:
Journal of Applied Spectroscopy Aims and scope

The signal characteristics of the electron absorption spectra of toluene solutions of commercial and reservoir crude oil, such as the dispersion, mathematical expectation, and the autocovariance and autocorrelations functions, are determined. Oil samples from the South Surgut and South Balyk deposits are used as examples to show that these characteristics differ for oils with different compositions, properties, and degrees of processing. Based on the likely characteristics of these parameters, a method is proposed for identification of these oils.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. GOST 4.25-83. System of Production Quality Indicators. Petroleum Products. Liquid Fuels. Nomenclature of Indicators, Standartinform, Moscow (2010).

  2. I. V. Chechkenev, A. B. Sizov, L. L. Kalinin, E. I. Alatortsev, V. A. Vagin, A. A. Balashov, V. G. Veselov, O. P. Nametkin, E. S. Lazarev, and A. M. Shelenin, Automated Method for Identification and Determination of the Conditioning of Petroleum Products, Patent RU No. 2075062, MPK G01N 21/35, No. 94042592/25; decl. November 29, 1994; publ. March 10, 1997.

  3. M. G. Smith, Fluorescent Marker for Petroleum Products, Patent RU No. 214988, C10L1/00, C10M171/00, C10L1/18, G01N33/22, No. 97114188/04; decl. December 22, 1995; publ. May 27, 2000.

  4. S. A. Akhmanov, in: S. A. Akhmanov, Yu. E. D’yakova, and A. S. Chirkina (Eds.), Statistical Electronics and Optics. Random Oscillations and Waves in Linear Systems [in Russian], Fizmatgiz, Moscow (2010).

    Google Scholar 

  5. V. P. Tsymbal, Mathematical Modeling of Complex Systems in Metallurgy [in Russian], ASTSh, Moscow (2006).

    Google Scholar 

  6. M. Yu. Dolomatov, Application of Electron Spectroscopy in the Physical Chemistry of Multicomponent Stochastic and Complex Molecular Systems [in Russian], TsNTI, Ufa (1989).

    Google Scholar 

  7. L. A. Dolomatova and Z. F. Kuzmina, Zh. Prikl. Spektrosk., 55, No. 3, 369–374 (1991) [J. Appl. Spectrosc., 55, 845–849 (1991)].

  8. A. B. Sergienko, Digital Signal Processing [in Russian], Piter, St. Petersburg (2002).

    Google Scholar 

  9. S. S. Gots, Elements of the Description and Computer Calculation of the Characteristics of Random Processes in Statistical Electronics [in Russian], RIO BasGU, Ufa (2005).

    Google Scholar 

  10. O. A. Beiko, Chemical Composition of the Oils of Western Siberia [in Russian], Nauka, Sib. Otd., Nobosibirsk (1988).

  11. R. S. Min, Distribution, Extraction, and Separation of Sulfur Compounds in the Oils of Western Siberia, Author’s abstract of doctoral dissertation in chemical sciences, IKhN SO RAN, Tomsk (1999).

    Google Scholar 

  12. G. F. Bol’shakov, Nitrogen-Organic Compounds in Oil [in Russian], Nauka, Novosibirsk (1988).

    Google Scholar 

  13. F. G. Unger, in: F. G. Unger and L. N. Andreeva (Eds.), Fundamental Aspects of Petroleum Chemistry. The Nature of Resins and Asphaltenes [in Russian], Nauka, Sibir. Izdat. Firma RAN, Novisibirsk (1995).

    Google Scholar 

  14. N. D. Rus’yanov, Carbon Chemistry [in Russian], Nauka, Moscow (2003).

    Google Scholar 

  15. N. K. Nadirov, Separation, Concentration, and Possible Use of Porphyrin Complexes of Heavy Oils and Natural Bitumens, in: N. K. Nadirov, G. A. Musaev, and S. P. Garmanov (Eds.), Proc. All-Union Sci. Conf., Kazan (1991), p. 47.

  16. I. R. Khairudinov, M. M. Akhmetov, and E. G. Talyashev, Zh. Ross. Khim. Ob-va im D. I. Mendeleeva, No. 1, 25 (2006).

  17. I. R. Kuzeev, in: I. R. Kuzeev, D. V. Kulikov, N. V. Mekalova, and M. M. Zakirnichnaya (Eds.), Physical Nature of Fracturing, a Textbook, UGNTU, Ufa (1997).

    Google Scholar 

  18. O. F. Sidorov and A. N. Seleznev, Zh. Ross. Khim. Ob-va im D. I. Mendeleeva, No. 1, 16 (2006).

  19. M. Yu. Dolomatov and G. U. Yarmuhametova, Bashkir. Khim. Zh., 16, No. 2, 62 (2009).

    Google Scholar 

  20. N. P. Suzdalev, Nanotechnology: Physical Chemistry of Nanoclusters, Nanostructures, and Nanomaterials [in Russian], Komkniga, Moscow (2006).

    Google Scholar 

  21. I. D. Mandel’, Cluster Analysis [in Russian], Finansy i Statistika, Moscow (1988).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. U. Yarmuhametova.

Additional information

Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 84, No. 1, pp. 132–137, January–February, 2017.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dolomatov, M.Y., Yarmuhametova, G.U. & Dolomatova, M.M. Identification of Oil in Terms of the Parameters of its Electron Absorption Spectrum. J Appl Spectrosc 84, 114–119 (2017). https://doi.org/10.1007/s10812-017-0436-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10812-017-0436-0

Keywords

Navigation