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

Method for predicting properties of crude oil through infrared spectrum

A technology of infrared spectroscopy and near-infrared spectroscopy, applied in the field of predicting the properties of crude oil to be tested, can solve the problems of long calculation time, limited application, large amount of mathematical calculation, etc., and achieve the effect of faster prediction and higher accuracy

Active Publication Date: 2018-05-01
CHINA PETROLEUM & CHEM CORP +1
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main problem of this method is that the amount of mathematical calculation is large and the calculation time is long. For a database containing 500 crude oil spectra, the fitting often takes 15 minutes, which limits the application of this method.

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 properties of crude oil through infrared spectrum
  • Method for predicting properties of crude oil through infrared spectrum
  • Method for predicting properties of crude oil through infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0064] (1) Establish a spectral database of crude oil samples

[0065] Collect 773 representative crude oil samples, which basically cover the major crude oil production areas in the world. Standard methods are used to measure the density, carbon residue, viscosity at 50°C, freezing point, acid value, sulfur, wax, colloid, etc. of crude oil samples. Asphaltene content, in addition, the cumulative mass yield of crude oil true boiling point distillation (TBP) was measured at the following 23 temperatures: 65°C, 80°C, 100°C, 120°C, 140°C, 165°C, 180°C, 200°C, 220°C ℃, 240℃, 260℃, 280℃, 300℃, 320℃, 350℃, 380℃, 400℃, 425℃, 450℃, 470℃, 500℃, 520℃, 540℃.

[0066] Measure the mid-infrared spectrum and near-infrared spectrum of the crude oil sample, carry out the second order differential respectively, and take the mid-infrared spectrum at 1650-1800cm -1 , near infrared spectrum 4000~4500cm -1 、4500~5000cm -1 、5000~5500cm -1 、5500~6000cm -1 The absorbance in the spectral region an...

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 properties of crude oil through infrared spectrum. The method comprises: collecting a group of crude oil samples with the number of at least 200; determining the property data of the crude oil samples by using a conventional method; determining the near infrared spectrums and the mid-infrared spectrums of the crude oil samples; taking the absorbance at five spectrum areas such as W1 of 1650-1800 cm<-1>, W2 of 4000-4500 cm<-1>, W3 of 4500-5000 cm<-1>, W4 of 5000-5500 cm<-1> and W5 of 5500-6000 cm<-1>, and calculating the polar coordinate projection scores; establishing a crude oil spectrum fitting database; calculating the polar coordinate projection score vectors of the absorbance of the crude oil samples to be determined at the characteristic spectrum area; fitting the polar coordinate projection score vectors and the spectrum polar coordinate projection score of the crude oil database sample to obtain a fitting degree; and predicting the crude oil sample to be determined through the properties of the database samples participating the fitting if the fitting degree is below a set threshold.

Description

technical field [0001] The invention is a method for predicting properties of crude oil by using infrared spectrum, specifically, a method for predicting the properties of crude oil to be tested from the property data of library samples by establishing a spectral database of known 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. CN201010257164 discloses a method for predicting oil physical property data using near-infrared spectroscopy. The method uses the Library Spectra Fitting Method (Library Spectra Fitting Method) to predict the properties of crude oil. Based on the principle of similar spectra and similar properties, through the spectral library One or more spectra are fitted to the spectrum of the unknown sample to be tested, and then the properties of the sample to be tested are calculated according to the properties of the crude oil participati...

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): G01N21/3577G01N21/359
CPCG01N21/3577G01N21/359
Inventor 褚小立许育鹏陈瀑李敬岩
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