The identification of highly similar crude oils by infrared spectroscopy combined with pattern recognition method

CATEGORY: CRUDE OIL ANALYSIS
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Available online 28 March 2013, In Press, Accepted Manuscript
The identification of highly similar crude oils by infrared spectroscopy combined with pattern recognition method
Jingyan Li, Xiaoli Chu, Songbai Tian, Wanzhen Lu
Research Institute of Petroleum Processing, SINOPEC, Beijing 100083, China
Abstract
Authors describe an attenuated total reflectance mid-infrared spectroscopy and moving window correlation coefficient method, which proves to be an efficient analytical tool for rapid identification of crude oil type.
Two similar crude oils (Arab middle crude oil and Arab heavy crude oil) were selected from the MIR spectral library according to their detailed assay data. The moving window correlation coefficients of the two crudes were calculated using the parameters established. As illustrated, researchers observed that some MWR values are less than 0.9450 in the region of 700-720 and 760-770 cm⁻¹, the two similar crude oils have been distinguished, although the Q value was 0.9988, and the correlation coefficient of the full spectra as one was near 0.9990. The result shows that the moving window correlation coefficient method can distinguish the MIR spectra of very similar crude oils.
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