摘要
LTAG工艺在工况调整过程中需要对加氢单元催化裂化轻循环油(LCO)加氢原料和产物烃类组成进行监控。采集了大量催化裂化和加氢柴油样品的中红外光谱,结合偏最小二乘方法,建立了LCO加氢原料和产物烃类组成的中红外分析模型。利用该方法可快速得到LCO加氢原料和产物的详细烃类组成,分析结果与质谱方法分析结果具有良好的一致性,与近红外光谱快速分析方法相比具有更高的准确性。该方法操作简单、重复性好,能满足现场快速分析的需求。
To adjust the reaction conditions of LTAG process,it is necessary to monitor the hydrocarbon compositions of feedstock LCO and products of hydrotreating unit.In this work,MIR calibration model was established by using the mid-infrared spectra data of a large number of LCO and hydrotreated diesel samples and partial least squares method to analyze rapidly and accurately the hydrocarbon compositions of LCO feedstock and products of hydrotreating unit in LTAG process.The MIR method has good consistency with mass spectrometry results.Compared with near infrared fast analysis method,MIR method performs higher accuracy.The method is simple and repeatable,and meets the needs of field fast analysis.
作者
李敬岩
王乃鑫
褚小立
陈瀑
Li Jingyan;Wang Naixin;Chu Xiaoli;Chen Pu(SINOPEC Research Institute of Petroleum Processing,Beijing 100083)
出处
《石油炼制与化工》
CAS
CSCD
北大核心
2020年第1期62-67,共6页
Petroleum Processing and Petrochemicals
基金
国家重点研发计划资助项目(2017YFB0306501)
