Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for rapidly predicting attribute of crude oil based on near-infrared spectroscopy

A near-infrared spectrum and near-infrared technology, applied in color/spectral characteristic measurement, measurement devices, material analysis through optical means, etc., can solve problems that cannot meet the needs of practical applications

Inactive Publication Date: 2018-03-02
EAST CHINA UNIV OF SCI & TECH
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, traditional evaluation methods can no longer meet the needs of practical applications.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for rapidly predicting attribute of crude oil based on near-infrared spectroscopy
  • Method for rapidly predicting attribute of crude oil based on near-infrared spectroscopy
  • Method for rapidly predicting attribute of crude oil based on near-infrared spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0201] The instrument that collects near-infrared spectrum of crude oil in the embodiment is Bruker Matrix-F Fourier transform near-infrared spectrometer, and the spectral range scanning range is 4000-12500cm -1 , resolution 32cm -1 , The cumulative number of scans is 32 times, and the transmission and reflection measurement method is adopted.

[0202] Step 1: collect 150 different types of crude oil samples, and measure the near-infrared spectrum of the crude oil samples, such as figure 2 shown. And measure the density of the crude oil sample according to the laboratory method.

[0203] Step 2: Select 8000-4000cm -1 The absorbance in the spectral range is preprocessed by first-order differential + multivariate scattering correction, and the near-infrared spectrum matrix of crude oil samples is established. figure 2 The original near-infrared spectrum of the crude oil sample that was measured, the baseline drift of the spectrum is serious, and the spectral peaks overlap ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for constructing a near-infrared model for predicating the attribute of crude oil, and a method for rapidly predicting the attribute of the crude oil based on near-infrared spectroscopy. The model construction method includes the following steps: detecting the attributes of different types of crude oil samples; determining the near-infrared spectrograms of the crude oil samples; and carrying out first-order differential processing and multiplicative scatter correction on the absorbance of the 12500-4000 cm<-1> spectral region in the near-infrared spectrograms;carrying out main component analysis on preprocessed spectra, calculating the T2 value of every crude oil sample, rejecting the values being greater than a threshold, and establishing an initial training set; selecting samples by using the Euclidean distance between the samples with the obtained main component score in the initial training set as a characteristic variable to determine a final training set; selecting one or more wave-number segments by using a moving window partial least squares technology; and establishing the near-infrared model between the attribute and the near-infrared spectrum of the crude oil by using a regression technology. The methods are especially suitable for the online fast prediction analysis of the crude oil.

Description

technical field [0001] The invention relates to a method for real-time prediction of crude oil properties based on near-infrared spectrum detection. Background technique [0002] With the rapid development of modern industry, petroleum, as a national strategic material, plays a vital role in the national economy. my country's oil resources are relatively scarce. According to the "BP World Energy Statistical Yearbook 2016" report, in 2015, China's net oil imports increased by 770,000 barrels per day, and China once again became the world's largest oil importer. There are many types of imported crude oil. Many of them are so-called "opportunity oils", which either have a large specific gravity, high acid content, or a lot of impurities. Sometimes the tanker doesn't know what oil it is until it arrives at the terminal. This requires relevant personnel to quickly evaluate these crude oils, and the pricing of crude oil must be determined according to the results of crude oil eva...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3577G01N21/35
CPCG01N21/35G01N21/3577G01N21/359G01N2021/3595G01N2201/1293
Inventor 钱锋隆建杨明磊杜文莉钟伟民
Owner EAST CHINA UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com