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Infrared spectrum-based crude oil type identification method

A technology of infrared spectrum and spectrum recognition, which is applied in the field of rapid identification of crude oil types, can solve problems such as limited application, long calculation time, and large amount of mathematical calculation, so as to achieve the effect of improving recognition speed and recognition accuracy and reducing calculation amount

Active Publication Date: 2018-05-01
CHINA PETROLEUM & CHEM CORP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 thousands of crude oil spectra, it usually takes 2 to 5 minutes to identify a kind of crude oil, which limits the application of this method.
In addition, this method uses the absorbance in the characteristic range of the near-infrared spectrum to identify the type of crude oil, and the near-infrared spectrum mainly contains the information of hydrogen-containing groups, and does not contain the information of heteroatoms such as carbonyl chemical bonds, so the accuracy of identifying the type of crude oil is limited.

Method used

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  • Infrared spectrum-based crude oil type identification method

Examples

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example 1

[0035] (1) Establish crude oil spectral database

[0036] 771 representative crude oil samples were collected, and the crude oil varieties basically covered the world's major crude oil producing areas. Determination of mid-infrared and near-infrared spectra of crude oil samples, see figure 1 , figure 2 , 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 was used to establish a crude oil spectral database.

[0037] (2) Establishment of crude oil spectral identification database

[0038] According to the formulas ① and ②, each crude oil sample in the crude oil spectral database is calculated at 1650-1800cm -1 , 4000~4500cm -1 、4500~5000cm -1 、5000~5500cm -1 、5500~6000cm -1 The polar coordinate projection score of absorbance in the spectral region, calculated from 1650 to 1800cm -1 When...

example 2

[0046] Measure another kind of mid-infrared spectrum and near-infrared spectrum of crude oil to be identified by the method of example 1 (3), and calculate the polar coordinate projection score of its characteristic spectral region absorbance, constitute the identification vector of crude oil to be identified, then press ( 5) One-step method to calculate its and crude oil spectral recognition matrix PC 771×10 The Euclidean distance between each crude oil sample in , the minimum Euclidean distance obtained is d 574 , d 574 = 0.0022, this value is less than the threshold value 0.0027, indicating that the crude oil to be identified and No. 574 crude oil sample in the spectral database are the same type of crude oil, a naphthenic crude oil, and the identification time is 8 seconds.

example 3

[0048] Measure another kind of mid-infrared spectrum and near-infrared spectrum of crude oil to be identified by the method of example 1 (3), and calculate the polar coordinate projection score of its characteristic spectral region absorbance, constitute the identification vector of crude oil to be identified, then press ( 5) One-step method to calculate its and crude oil spectral identification matrix PC 771×10 The Euclidean distance between each crude oil sample in , the minimum Euclidean distance obtained is d 332 , d 332 = 0.0011, this value is less than the threshold value 0.0027, indicating that the crude oil to be identified and No. 332 crude oil sample in the spectral database are the same type of crude oil, an intermediate base crude oil, and the identification time is 8 seconds.

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Abstract

The invention relates to an infrared spectrum-based crude oil type identification method, which comprises: determining the mid-infrared spectrums and the near-infrared spectrums of various types of crude oil samples, carrying out second-order differential treatment, taking the polar coordinate projection scores of the absorbance of each crude oil sample 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> on the X-axis and Y-axis, establishing a crude oil spectrum identification database throughthe polar coordinate projection scores, determining the polar coordinate projection scores of the absorbance of crude oil to be identified at the five spectrum areas on the X-axis and Y-axis, calculating the distances between the identification vector of the crude oil to be identified and each crude oil sample vector, and comparing the minimum distance to a set threshold, wherein the corresponding crude oil and the crude oil to be identified are the same type of the crude oil if the minimum distance is less than the threshold, and if the minimum distance is not less than the set threshold, the same crude oil as the crude oil to be identified does not exist in the crude oil spectrum database. With the method of the present invention, the crude oil sample identification speed and the crudeoil sample identification accuracy can be effectively improved.

Description

technical field [0001] The invention relates to a method for quickly identifying types of crude oil, specifically, a method for quickly identifying types of crude oil by using infrared spectroscopy. Background technique [0002] CN101995389A discloses a method for quickly identifying crude oil types by near-infrared spectroscopy. This method combines the concept of moving window (Moving Window) with traditional correlation coefficients, and proposes a method for quickly identifying crude oil near-infrared spectroscopy—moving window Correlation coefficient method. This method can accurately identify the crude oil species, and can give detailed difference information between the near-infrared spectra of different crude oils, which provides powerful help for analyzing the spectra. [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 thousands of crude oil spectra, it usually...

Claims

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Application Information

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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
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