A Method of Predicting the Properties of Crude Oil by Near Infrared Spectroscopy

A near-infrared spectroscopy, crude oil technology, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problem of wide variation range of samples, and achieve the effect of simplifying data processing, improving calculation speed and accurate prediction results.

Active Publication Date: 2018-04-13
CHINA PETROLEUM & CHEM CORP +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, due to the wide range of samples in the database, the properties of nonlinear blending effects (such as octane number and viscosity, etc.) need to use blending rules, which limits the practical application of this method to a certain extent

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
  • A Method of Predicting the Properties of Crude Oil by Near Infrared Spectroscopy
  • A Method of Predicting the Properties of Crude Oil by Near Infrared Spectroscopy
  • A Method of Predicting the Properties of Crude Oil by Near Infrared Spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0068] Crude oil properties are predicted according to the method of the present invention.

[0069] (1) Establishment of near-infrared spectrum database of crude oil samples

[0070] 458 representative crude oil samples were collected, and the crude oil varieties basically covered the world's major crude oil producing areas. Measure the near-infrared spectrum of crude oil samples, select 7000 ~ 4000cm -1 The absorbance in the spectral range is processed by second-order differential processing to establish the near-infrared spectrum matrix X of crude oil samples 779×458 , where 458 is the number of crude oil samples, and 779 is the number of data points in the near-infrared spectrum.

[0071] Determination of crude oil density, 50°C viscosity, freezing point, acid value, carbon residue, sulfur, wax, colloid, asphaltene, metal nickel and metal vanadium content and true boiling point distillation data (TBP, accumulation of 23 temperature points) by conventional methods Mass y...

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

A method for predicting the properties of crude oil from near-infrared spectra, including collecting different types of crude oil samples, measuring their near-infrared spectra and physical property data, performing principal component analysis after performing second-order differential processing on near-infrared spectra, and taking the first w scores and After the four physical property data are standardized, the principal component analysis is performed, and the first w+1 scores are taken to establish a crude oil identification database. After processing the near-infrared spectrum of the crude oil sample to be tested, the same identification analysis as the database construction is carried out. The identification variable of the crude oil to be tested is obtained, and the crude oil sample closest to it in the database is determined by the identification variable, and the spectra of these crude oil samples are used for spectral fitting of the crude oil sample to be tested, and then the fitting is judged by comparing the fitting degree with the threshold , for a fully fitted sample to be tested, predict the physical property data of the crude oil sample to be tested from the physical property data corresponding to the library spectrum involved in the fitting.

Description

technical field [0001] The invention is a method for predicting properties of crude oil from near-infrared spectra, specifically, a method for predicting properties of crude oil to be tested from near-infrared spectra of samples and a database of known properties of crude oil samples. Background technique [0002] The rapid evaluation of crude oil is of great significance in crude oil trade, crude oil blending and crude oil processing. Near-infrared spectroscopy is currently recognized as a rapid and on-line analysis technique for oil products. Crude oil evaluation not only needs to determine the basic properties of crude oil (such as density, carbon residue, acid value, sulfur content, nitrogen content, wax content, asphaltene content, and true boiling point distillation curve, etc.), but also needs to determine the physical and chemical properties of crude oil fractions. There are nearly a hundred projects. Obviously, it is not feasible to use the traditional near-infrare...

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 Patents(China)
IPC IPC(8): G01N21/359G01N21/3577
Inventor 褚小立陈瀑许育鹏
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap