文献类型：期刊文献

英文题名：Rapid crude oil analysis using near-infrared reflectance spectroscopy

作者：Long, Jian[1];Wang, Kai[1];Yang, Minglei[1];Zhong, Weimin[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai, Peoples R China

年份：2019

卷号：37

期号：3

起止页码：354

外文期刊名：PETROLEUM SCIENCE AND TECHNOLOGY

收录：;EI(收录号：20190506441582);WOS:【SCI-EXPANDED(收录号:WOS:000458362000016)】；

基金：This work was supported by National Natural Science Foundation of China (61333010), Fundamental research funds for the central universities (222201814038) and the National Natural Science Foundation Youth Project (21506050).

语种：英文

外文关键词：Crude oil; near infrared spectroscopy; reflective fiber-optic probe; on-line analysis; partial least squares

摘要：This work describes a new approach to predict the properties of crude oil by using near infrared spectrum with a reflective fiber-optic probe. The absorbance spectra of crude oil samples were pre-processed by the first derivative. The pretreated near-infrared spectrum data were analyzed with principal component analysis to detect eventual outliers in the data set. The spectral data were correlated with crude oil property parameters by partial least squares regression. The comparison results of predicted and measured values for API gravity and sulfur content revealed a better performance for the model.