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Prediction of the Effectiveness of Pour-Point Depressant Additives from Data on the Antioxidant Properties of Crude Oil

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Chemistry and Technology of Fuels and Oils Aims and scope

In order to predict the effectiveness of pour-point depressant additives, we have used data on the redox activity of the pour-point depressants and the crude oil, untreated and treated with the additives. The value of the kinetic criterion K for antioxidant activity depends on the type of additive and its concentration. The highest value of the calculated antioxidant activity index IAO corresponds to the pour-point depressant additive best reducing the viscosity and pour point of waxy crude oil. Using a pour-point depressant with a negative value of IAO leads to poorer rheological characteristics of the crude oil, and an additive with slight pour-point depressant effectiveness has a low IAO.

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References

  1. V. P. Tronov, Field Preparation of Crude Oil [in Russian], Nedra, Moscow (1977), p. 260.

    Google Scholar 

  2. R. A. Terteryan, Depressant Additives to Crude Oils, Fuels, and Oils [in Russian], Khimiya, Moscow (1990), p. 237.

    Google Scholar 

  3. J. A. Lopes-da-Silva and J. A. P. Coutinho, Energy & Fuels, 21, 3612-3617 (2007).

    Article  CAS  Google Scholar 

  4. K. S. Pedersen, Energy & Fuels, 17, 321-328 (2003).

    Article  CAS  Google Scholar 

  5. E. O. Zemlyanskii, Yu. P. Gurov, and S. G. Agaev, Fundament. Issled., No. 7, 55-56 (2005).

  6. Yu. V. Loskutova, N. V. Sizova, N. V. Yudina, et al., Neftekhim., 45, No. 2, 146-150 (2005).

    CAS  Google Scholar 

  7. F. G. Unger and L. N. Andreeva, Fundamental Aspects of Petroleum Chemistry. Nature of Resins and Asphaltenes [in Russian], Nauka, Novosibirsk (1995), p. 186.

    Google Scholar 

  8. Z. I. Syunyaev, R. Z. Syunyaev, and R. Z. Safieva, Crude Oil Disperse Systems [in Russian], Khimiya, Moscow (1990), p. 224.

    Google Scholar 

  9. Yu. V. Loskutova, N. V. Yudina, S. I. Pisareva, Neftekhim., 48, No. 1, 50-54 (2008).

    CAS  Google Scholar 

  10. Yu. V. Loskutova, in: Asphaltenes: Characterization, Properties, and Applications Series: Chemical Engineering Methods and Technology, Nova Science Publishers, Inc., USA (2010), pp. 121-144.

    Google Scholar 

  11. E. I. Korotkova, Author’s Abstract of Doctor’s Dissertation [in Russian], Tomsk (2009), p. 44.

  12. Yu. A. Karbainov and E. I. Korotkova, Zh. Anal. Khim., 46, No. 2, 328-333 (1991).

    CAS  Google Scholar 

  13. Rusian Federation Patent 2005138705.

  14. E. V. Mal’tseva, A. M. Gorshkov, L. V. Chekantseva, et al., Zh. Prikl. Khim., 86, No. 9, 1401-1406 (2013).

    Google Scholar 

  15. V. P. Tronov, Mechanism of Formation of Resin and Wax Deposits and Their Prevention [in Russian], Nedra, Moscow (1969), p. 192.

    Google Scholar 

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Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 6, pp. 26 – 29, November – December, 2014.

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Loskutova, Y.V., Yudina, N.V. Prediction of the Effectiveness of Pour-Point Depressant Additives from Data on the Antioxidant Properties of Crude Oil. Chem Technol Fuels Oils 50, 483–488 (2015). https://doi.org/10.1007/s10553-015-0553-5

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