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

Method of predicting oil product quality using chromatography mass spectrometry combined method

A property and predictive model technology, applied in the direction of measuring devices, material inspection products, instruments, etc., can solve the problems of cumbersome modeling and value selection methods, and achieve the effects of short measurement time, simple modeling method, and shortened analysis time

Inactive Publication Date: 2004-10-06
CHINA PETROLEUM & CHEM CORP +1
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the modeling method of this method is more cumbersome

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 of predicting oil product quality using chromatography mass spectrometry combined method
  • Method of predicting oil product quality using chromatography mass spectrometry combined method
  • Method of predicting oil product quality using chromatography mass spectrometry combined method

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0056] A prediction model for straight-run diesel aniline point was established.

[0057] (1) Establishment of diesel sample set and measurement of aniline point properties

[0058] Taking straight-run diesel oil with a boiling point range of 200-350°C as samples, 68 typical samples were collected as model samples of aniline point, and the aniline point was determined by GB / T262-88 method. Among them, there are 56 samples in the calibration set and 12 samples in the validation set.

[0059] (2) Establish a prediction model and verify it

[0060] The temperature program of the chromatographic instrument is controlled as follows: initial 50°C, then rise to 280°C at 10°C / min; inject 0.1 microliter of the calibration set sample into the chromatographic injector, and then pass it into the mass spectrometer after chromatographic separation. The retention time range of the diesel fraction was determined from the total ion chromatogram of the color-mass spectrometer. The distributi...

example 2

[0067] A prediction model for straight-run kerosene viscosity (20°C) was established.

[0068] (1) Establish a kerosene sample set and measure the viscosity of kerosene at 20°C

[0069] Taking straight-run diesel oil with a boiling point range of 150-250°C as samples, 47 typical samples were collected as 20°C viscosity model samples, and the 20°C viscosity of each sample was measured by GB / T265-88 method. Take 36 samples as the calibration set, and 11 randomly selected samples as the validation set.

[0070] (2) Establish a prediction model and verify it

[0071] Obtain the mass spectrogram of each sample in the calibration set according to the method of Example 1, the difference is that the temperature program of the chromatograph is controlled as follows: initial 50°C, then rise to 220°C at 10°C / min, when calculating the relative abundance of the sample, the selected The MS scanning range is 41.0-250.0 aum.

[0072] The relative abundance values ​​of the mass spectrograms...

example 3

[0077] A prediction model for straight-run gasoline density (20°C) was established.

[0078] (1) Establish gasoline density sample set and measure gasoline viscosity at 20°C

[0079] Using straight-run gasoline with a boiling point ranging from initial boiling point to 200°C as samples, 77 samples were collected as 20°C density model samples, and the density of each sample was determined by the method GB1884-83. Take 53 samples as the calibration set, and 14 randomly selected samples as the validation set.

[0080] (2) Establish a prediction model and verify it

[0081] Obtain the mass spectrum of each sample in the calibration set according to the method of Example 1, the difference is that the temperature program of the chromatograph is controlled as follows: initial 50°C, then rise to 180°C at 10°C / min, when calculating the relative abundance of the sample, the selected The MS scan range is 41.0-200.0 aum.

[0082] The relative abundance values ​​of the mass spectra of e...

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's fraction by using the combination of gas-phase chromatography and mass-spectrography includes collecting various predicted fraction specimens, filling in gas-phase chromatography, separating, filling in mass-spectrography to obtain total ion stream chromatomap, determining retention time range, choosing the analytic range of mass charge ratio, using the peak with 57 of mass charge ration as reference to find out the relative abundance of other peaks, confiquring the x array of relative abundances and the Y array of relative measured property values, association analysis to find out relation array, creating predicting model, and predicting.

Description

technical field [0001] The invention relates to a method for predicting properties of oil products by color-mass coupling, specifically, a method for predicting properties of oil products through mass spectrograms by using a chromatographic instrument coupled with a mass spectrometer. Background technique [0002] Petroleum products are very complex mixtures, which contain both hydrocarbon compounds and non-hydrocarbon compounds, and their properties are generally analyzed and determined by means of separate measurements. Although this measurement method has high precision, it is time-consuming and requires a large amount of sample, which cannot meet the needs of rapid analysis in many occasions. [0003] Chromatography-mass spectrometry (GC / MS) analysis method was mainly used in the analysis of hydrocarbon composition of petroleum products in the past, but the advantages of combining chromatography and mass spectrometry can also be used to obtain characteristic data of oil ...

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): G01N30/72G01N33/28
Inventor 蒋晓明田松柏刘泽龙
Owner CHINA PETROLEUM & CHEM CORP
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