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2014/2
Near-infrared spectroscopy for monitoring quality of commodity and raw material flows of gasoline blending station
Oil and gas processing, chemistry of oil and gas

Authors: Ravilya Z. SAFIEVA graduated from Lomonosov Moscow State University in 1978. She is Doctor of Technical Sciences, Full Professor of the Department of Organic Chemistry and Petroleum Chemistry of Gubkin Russian State University of Oil and Gas. She is a specialist in the field of physical chemistry of oil disperse systems and methods of research. She is author of over 100 scientific publications. E-mail: safieva@gubkin.ru
Irina V. IVANOVA graduated from Kazan State University named after VI Ulyanov-Lenin in 2006. She is postgraduate student of the Department of Organic Chemistry and Petroleum Chemistry at Gubkin Russian State University of Oil and Gas. She is a specialist in the field of molecular spectroscopy. E-mail: irina20051984@rambler.ru

Abstract: Near-infrared spectroscopy (NIR) is becoming an effective and popular analytical technique in the petrochemical and refining industries, mainly because of the reliability and convenience for routine use. In this paper we have accumulated and systematized a large amount of spectral data obtained for the raw materials and commodity flows of gasoline blending station using near-infrared spectrometer with Fourier transform (FT-NIR) in ON-LINE mode. A correlation between the spectral data and the quality parameters, namely, octane numbers using research and motor methods, density, content: aromatic hydrocarbons, benzol and olefinic hydrocarbons; fractional composition, saturated vapors pressure. We have constructed and validated calibration models for these parameters and proposed these for use in real-time. The prediction error of the obtained gauge model lies within the reproducibility of the standard methods for each parameter

Index UDK: УДК 665.773.3

Keywords: infrared spectrometer with Fourier transform, spectroscopy of near-in-frared (NIR) range, commodity flows, commercial gasoline, gauge model, independent verification of models

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