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

Method for predicting physical property data of oil product by using near infrared spectrum

A technology of near-infrared spectroscopy and spectroscopy, which is applied in the field of predicting oil physical property data, can solve the problems of application and promotion limitations, achieve the effect of simple operation and solve the problem of model maintenance

Active Publication Date: 2012-03-14
CHINA PETROLEUM & CHEM CORP +1
View PDF5 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the application and popularization of this kind of method is also subject to certain restrictions.

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 physical property data of oil product by using near infrared spectrum
  • Method for predicting physical property data of oil product by using near infrared spectrum
  • Method for predicting physical property data of oil product by using near infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0050] Predict density, char and viscosity values ​​of crude oil.

[0051] (1) Establish a near-infrared spectral database of crude oil samples

[0052] 335 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 subjected to first-order and second-order differential processing, and then normalized respectively, and the normalized first-order and second-order differential spectra are combined side by side.

[0053] Use SH / T 0604, GB / T17144, GB / T11137 to measure the density, carbon residue and 50°C viscosity of each sample respectively.

[0054] The crude oil near-infrared spectrum physical property database was established by combining the processed near-infrared spectra and their corresponding three physical property data side by side.

[0055] (2) Calculate the threshold...

example 2

[0073] Predicting Reformate Gasoline Octane Number.

[0074] (1) Establish a near-infrared spectrum database of reformed gasoline

[0075] A total of 1420 representative reformed gasoline samples were collected. The reformed gasoline samples basically covered the products of various processes and catalysts. The octane number of the research method ranged from 93.8 to 104.5. Measure the near-infrared spectrum of the reformed gasoline sample, select 10000 ~ 4000cm -1 The absorbance in the spectral range is normalized after first-order and second-order differential processing, and then the normalized first-order and second-order differential spectra are combined side by side.

[0076] The research octane number (RON) of each sample was determined by GB / T5487 method.

[0077] The near-infrared spectra of reformed gasoline obtained after processing and their corresponding RONs were combined side by side to establish a database of near-infrared spectra of gasoline.

[0078] (2) C...

example 3

[0092] Prediction of PAH content in diesel fuel.

[0093] (1) Establish a near-infrared spectrum database of diesel

[0094] A total of 245 representative diesel samples were collected. The types of diesel samples include straight-run diesel, catalytically cracked diesel, and hydrogenated diesel. Measure the near-infrared spectrum of the diesel sample, select 10000 ~ 4000cm -1 The absorbance in the spectral range is then preprocessed by wavelet transform, using the Daubechies (db4) wavelet basis function, the spectral decomposition scale is 7, and the wavelet detail coefficient of the third scale (cd3) and the wavelet detail coefficient of the fourth scale (cd4 ), the wavelet detail coefficient of the 5th scale (cd5) and the wavelet detail coefficient of the 6th scale (cd6), respectively normalized and combined side by side.

[0095] Use the SH / T0606 method to determine the content of polycyclic aromatic hydrocarbons in each sample. The near-infrared spectrum database of di...

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 physical property data of an oil product by using a near infrared spectrum. The method comprises steps of: classifying oil products by properties; collecting a group of sample from each variety; determining a near infrared spectrum of each sample; determining physical property data of each sample by a routine method according to oil product varieties; combining determined sample near infrared spectrums side by side and establishing a database according to determined characteristic data; obtaining fitting spectrum by fitting database spectrums; calculating a fitting degree according to the fitting spectrum and a spectrum to be measured; comparing with a threshold; for a sample to be measured with complete spectrum fitting, database spectrum characteristics participated in fitting predicting characteristic data of the sample.

Description

technical field [0001] The invention is a method for predicting oil physical property data by using near-infrared spectrum, specifically, it is a method for predicting oil physical property data from database sample data by establishing a database of known samples. Background technique [0002] Due to the characteristics of modern molecular spectroscopy (near-infrared, infrared and Raman, etc.), which are fast, can measure multiple properties simultaneously, and are suitable for online non-destructive analysis, they have been increasingly used in petrochemical, agricultural and pharmaceutical fields, especially It plays an active and irreplaceable role in process analysis. However, these techniques need to use chemometric methods to establish a calibration model, and the calibration model has a certain scope of application, and it is not once and for all. If there is a large difference between the composition of the sample to be tested and the samples in the calibration set...

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): G01N21/35G01N21/3577G01N21/359
Inventor 褚小立许育鹏田松柏陆婉珍
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