Method for predicting crude oil characteristic through near infrared spectrum

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

Active Publication Date: 2016-03-09
CHINA PETROLEUM & CHEM CORP +1
View PDF4 Cites 21 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 nu

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 predicting crude oil characteristic through near infrared spectrum
  • Method for predicting crude oil characteristic through near infrared spectrum
  • Method for predicting crude oil characteristic through near infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0067] Example 1

[0068] Predict crude oil properties according to the method of the invention.

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

[0070] Collected 458 representative crude oil samples, crude oil varieties basically cover 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 subjected to second-order differential processing to establish a crude oil sample near-infrared spectrum matrix X 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] Determine crude oil density, viscosity at 50°C, freezing point, acid value, residual carbon, sulfur, wax, gum, asphaltene, metallic nickel and metallic vanadium content, and real boiling point distillation data (TBP, accumulation of 23 temperature points) by conventional methods Quality yield: 65℃, 80℃, 100℃, 120℃, 14...

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 predicting the crude oil characteristic through near infrared spectrum. The method comprises: collecting different types of crude oil samples; determining the near infrared spectrums and the physical data; carrying out second order differentiation treatment on the near infrared spectrums, and then carrying out main component analysis; taking previous w scores and four physical data, carrying out standardization treatment, and then carrying out main component analysis; taking previous w+1 scores to establish a crude oil identification database; treating the near infrared spectrum of a crude oil sample to be tested, and carrying out the same identification analysis as the database establishing to obtain the identification variable of the crude oil sample to be tested; determining the crude oil sample mostly approaching the crude oil sample to be tested in the database through the identification variable; carrying out spectrum fitting on the crude oil sample to be tested through the spectrums of the crude oil samples, and determining the fitting property through the comparison of the fitting degree and the threshold value; and for the completely-fitting sample to be tested, predicting the physical data of the crude oil sample to be tested by using the physical data corresponding to the database spectrum participating 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
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