Method for identifying types of crude oil by using two-dimensional correlation infrared synchronization spectrum

A two-dimensional correlation, infrared spectroscopy technology, applied in the field of rapid identification of crude oil types, can solve problems such as complex crude oil composition

Active Publication Date: 2015-03-18
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complex composition of crude oil and the mutual concealment of spectral information, the extraction of spectral information has always been a major problem faced by infrared and near-infrared spectroscopy.

Method used

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  • Method for identifying types of crude oil by using two-dimensional correlation infrared synchronization spectrum
  • Method for identifying types of crude oil by using two-dimensional correlation infrared synchronization spectrum
  • Method for identifying types of crude oil by using two-dimensional correlation infrared synchronization spectrum

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0045] Establishment of 2D Correlation Infrared Synchronous Spectral Database of Crude Oil Samples

[0046] 312 representative crude oil samples were collected, and the crude oil varieties basically covered the world's major crude oil producing areas. Measure the infrared spectrum of each crude oil sample at 30°C, 40°C, 50°C, and 60°C in turn, and perform second-order differentiation on it, and select 755-1107cm -1 The absorbance in the spectral range is processed by two-dimensional correlation with Hilbert matrix transformation, the synchronous spectrum of each sample is extracted, and the two-dimensional correlation infrared synchronous spectrum database X of crude oil samples is established. X is a third-order tensor, and its dimension is 312×352×352, where 312 is the number of samples collected for crude oil, and 352 is the number of sampling points for infrared spectrum absorbance. That is, the data structure of the above-mentioned two-dimensional correlated infrared syn...

example 2

[0048] The following examples use the method of the present invention to identify unknown crude oil types.

[0049] (1) Establish a synchronous spectral matrix of crude oil to be identified

[0050] The infrared spectra of unknown crude oil A at 30°C, 40°C, 50°C, and 60°C were measured under the same conditions as those used to establish a two-dimensional correlation infrared synchronous spectrum database. The properties of crude oil A are shown in Table 1. The infrared spectra measured at different temperatures The spectrum is subjected to second-order differential, and the 755~1107cm -1 The absorbance in the spectral range is processed by two-dimensional correlation to obtain its two-dimensional correlation synchronous spectral matrix x A , whose dimension is 352×352.

[0051] (2) Identification of unknown crude oil types

[0052] For two-dimensional correlated infrared synchronous spectral database X and spectral matrix x A , respectively from 755cm -1 Take a correspon...

example 3

[0060] Identify the unknown crude oil B.

[0061] (1) Establish a synchronous spectral matrix of crude oil to be identified

[0062] The infrared spectra of unknown crude oil B at 30°C, 40°C, 50°C, and 60°C were measured under the same conditions as those used to establish the spectral database. The properties of crude oil B are shown in Table 1, and the infrared spectra measured at different temperatures were subjected to second-order differentiation. , the 755 ~ 1107cm -1 The absorbance in the spectral range is processed by two-dimensional correlation to obtain its two-dimensional correlation synchronous spectral matrix x B , whose dimension is 352×352.

[0063] (2) Identification of unknown crude oil types

[0064] By the method of example 2 (2) steps, calculate the two-dimensional correlation synchronous spectrum and x of each sample in the spectral database X B At 755~1107cm -1 The moving matrix correlation coefficient of each moving matrix window in the spectral reg...

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Abstract

The invention relates to a method for identifying types of crude oil by using a two-dimensional correlation infrared synchronization spectrum. The method comprises that: (1) absorbance of a spectrum area of 755-1107 cm<-1> is selected to carry out a two-dimensional correlation treatment, and synchronization spectrum matrixes of various samples are adopted to establish a crude oil infrared spectrum database X, wherein X is a third-order tensor; (2) an infrared spectrum of a blended crude oil sample requiring identification is determined, a second order differentiation treatment is performed, and absorbance of a spectrum area of 755-1107 cm<-1> is selected to carry out a two-dimensional correlation treatment to obtain a synchronization spectrum matrix x; and (3) the matrix x and a correlation coefficient of each sample of the crude oil two-dimensional infrared spectrum database in each movement matrix window of the 755-1107 cm<-1> spectrum area are calculated, an identification parameter Q of each database sample is calculated according to a formula (I), if Qi is more than Qt, and each movement matrix correlation coefficient of the sample I is not less than0.9700, the crude oil requiring identification and the sample i in the database are the same. The method of the present invention has high identification rate. With the method of the present invention, whether the crude oil requiring determination and the known crude oil type in the database are the same can be rapidly identified, and especially the type of the blended crude oil can be effectively identified.

Description

technical field [0001] The invention is a method for quickly identifying types of crude oil, specifically, a method for quickly identifying types of crude oil by two-dimensional correlation synchronous infrared spectroscopy. Background technique [0002] Crude oil evaluation plays a very important role in various aspects of crude oil mining, trade, processing, etc. Although a relatively complete set of crude oil evaluation methods has been established, these methods have long analysis time, heavy workload, and high cost, which are far from satisfying The need for rapid evaluation. Therefore, large petrochemical companies at home and abroad are currently using a variety of modern instrumental analysis methods to develop and establish crude oil rapid evaluation technologies, including color-mass spectrometry (GC-MS), nuclear magnetic resonance (NMR), near-infrared spectroscopy (NIR) and infrared spectroscopy. (IR), among which infrared and near-infrared spectroscopy are the m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/3577
Inventor 李敬岩褚小立田松柏杨玉蕊
Owner CHINA PETROLEUM & CHEM CORP
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