Rapid crude oil analysis using near-infrared reflectance spectroscopy

被引：15

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

来源：

PETROLEUM SCIENCE AND TECHNOLOGY | 2019年 / 37卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Crude oil; near infrared spectroscopy; reflective fiber-optic probe; on-line analysis; partial least squares;

D O I：

10.1080/10916466.2018.1547754

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

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.

引用

页码：354 / 360

页数：7

共 6 条

[1] Use of near infrared for evaluation of droplet size distribution and water content in water-in-crude oil emulsions in pressurized pipeline [J].