石油炼制与化工 ›› 2017, Vol. 48 ›› Issue (7): 98-102.

• 分析与评定 • 上一篇    

LTAG加氢单元原料和产品组成的近红外快速分析及应用

陈瀑,祝馨怡,李敬岩,褚小立   

  1. 中国石化石油化工科学研究院
  • 收稿日期:2016-12-01 修回日期:2017-02-10 出版日期:2017-07-12 发布日期:2017-06-21
  • 通讯作者: 陈瀑 E-mail:chenpu.ripp@sinopec.com
  • 基金资助:
     

RAPID COMPOSITION ANALYSIS OF FEEDSTOCK AND PRODUCT OF HYDROTREATING IN LTAG TECHNOLOGY BY NEAR INFRARED SPECTROSCOPY

    

  1.  
  • Received:2016-12-01 Revised:2017-02-10 Online:2017-07-12 Published:2017-06-21
  • Supported by:
     

摘要: 利用383个催化裂化柴油和加氢柴油样品的近红外光谱及标准族组成数据,结合偏最小二乘(PLS)方法建立近红外混合分析模型,针对LTAG加氢单元中LCO原料和产品的详细族组成进行快速分析,并将该近红外快速分析方法应用于某炼油厂LTAG工艺过程中。模型验证结果显示预测值与样品族组成实测值非常接近,模型准确性与标准方法相当,重复性测试结果显示模型重复性优于标准方法;对炼油厂LTAG加氢装置原料和产品某些组分含量连续15天的近红外监控结果也证明该快速分析方法可满足实际应用需求。

关键词: LTAG, LCO加氢, 近红外光谱, 偏最小二乘

Abstract: Based on the NIR results and the group composition data by SH/T 0606 standard method of 383 FCC diesel and hydrotreated diesel samples, a NIR hybrid analysis model was established using partial least squares (PLS) method. Verification results indicate that the results predicted by model are very close to the standard method and the repeatability even better. It was applied in a refinery LTAG process. The continuous analysis of the compositions of feedstock before and after hydrotreating for 15 days proves the practicability of this rapid analysis method.

Key words: LTAG, LCO hydrotreating, NIR, partial least squares

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