• Spectroscopy and Spectral Analysis
  • Vol. 34, Issue 10, 2612 (2014)
WANG Yan-bin1、*, HU Yu-zhong2, LI Wen-le1, ZHANG Wei-song2, ZHOU Feng1, and LUO Zhi3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2014)10-2612-05 Cite this Article
    WANG Yan-bin, HU Yu-zhong, LI Wen-le, ZHANG Wei-song, ZHOU Feng, LUO Zhi. Prediction of the Side-Cut Product Yield of Atmospheric/Vacuum Distillation Unit by NIR Crude Oil Rapid Assay[J]. Spectroscopy and Spectral Analysis, 2014, 34(10): 2612 Copy Citation Text show less

    Abstract

    In the present paper, based on the fast evaluation technique of near infrared, a method to predict the yield of atmospheric and vacuum line was developed, combined with H/CAMS software. Firstly, the near-infrared(NIR) spectroscopy method for rapidly determining the true boiling point of crude oil was developed. With commercially available crude oil spectroscopy database and experiments test from Guangxi Petrochemical Company, calibration model was established and a topological method was used as the calibration. The model can be employed to predict the true boiling point of crude oil. Secondly, the true boiling point based on NIR rapid assay was converted to the side-cut product yield of atmospheric/vacuum distillation unit by H/CAMS software. The predicted yield and the actual yield of distillation product for naphtha, diesel, wax and residual oil were compared in a 7-month period. The result showed that the NIR rapid crude assay can predict the side-cut product yield accurately. The near infrared analytic method for predicting yield has the advantages of fast analysis, reliable results, and being easy to online operate, and it can provide elementary data for refinery planning optimization and crude oil blending.
    WANG Yan-bin, HU Yu-zhong, LI Wen-le, ZHANG Wei-song, ZHOU Feng, LUO Zhi. Prediction of the Side-Cut Product Yield of Atmospheric/Vacuum Distillation Unit by NIR Crude Oil Rapid Assay[J]. Spectroscopy and Spectral Analysis, 2014, 34(10): 2612
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