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Method for predicting properties of oil product through near-infrared spectrum of oil product

A technology of near-infrared spectroscopy and properties, which is applied in the field of predicting the properties of oil products from near-infrared spectra, which can solve the problems of the accuracy of prediction results to be improved, the amount of calculation is large, and the comparison between the spectrum of the sample to be tested and the spectrum of the library sample is not targeted, etc. problem, to achieve the effect of improving the prediction speed and prediction accuracy

Active Publication Date: 2018-05-01
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0004] A significant problem in the above method is that the spectral fitting uses the absolute value of spectral absorbance, which requires a large amount of calculation, and there is no targeted comparison of the difference between the spectrum of the sample to be tested and the spectrum of the library sample, and the accuracy of the prediction results needs to be improved.

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  • Method for predicting properties of oil product through near-infrared spectrum of oil product
  • Method for predicting properties of oil product through near-infrared spectrum of oil product
  • Method for predicting properties of oil product through near-infrared spectrum of oil product

Examples

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Effect test

example 1

[0059] Predict crude oil density, acid number, sulfur content, carbon residue and viscosity values.

[0060] (1) Establish a near-infrared spectral database of crude oil samples

[0061] 450 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 of the spectral range is processed by second order differentiation.

[0062] Use SH / T 0604, GB / T7304, GB / T 17040, GB / T17144, GB / T11137 to measure the density, acid value, sulfur content, carbon residue and viscosity at 50°C of each sample. For the viscosity at 50°C, since it does not have linear additivity, it is necessary to convert the viscosity value at 50°C to the viscosity coefficient value C at 50°C, C=1000lglg(ν+0.8), and compare the processed near-infrared spectrum with its corresponding five The property data was used to establish a crude oil nea...

example 2

[0081] Predicting Reformate Gasoline Octane Number.

[0082] (1) Establish a near-infrared spectrum database of reformed gasoline samples

[0083] A total of 1687 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 93.2 to 104.6. Measure the near-infrared spectrum of the reformed gasoline sample, select 10000 ~ 4000cm -1 The absorbance of the spectral range is processed by second order differentiation. The research octane number (RON) of each sample was determined by GB / T5487 method. The near-infrared spectra of reformed gasoline samples obtained after processing and their corresponding RONs were used to establish a gasoline near-infrared spectrum database.

[0084] (2) Calculate the threshold s of the degree of fit v

[0085] Take a sample of reformed gasoline, repeat the measurement of near-infrared spectrum three tim...

example 3

[0101] Prediction of PAH content in diesel fuel.

[0102] (1) Establish a near-infrared spectral database of diesel samples

[0103] A total of 482 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 of the spectral range is processed by second order differentiation. Use the SH / T0606 method to determine the PAH content of each sample. The near-infrared spectrum of diesel oil obtained after treatment and its corresponding polycyclic aromatic hydrocarbon content were used to establish a diesel near-infrared spectrum database.

[0104] (2) Calculate the threshold s of the degree of fit v

[0105] Take a diesel sample and repeat the measurement of its near-infrared spectrum three times, select 10000~4000cm -1 The absorbance in the spectral range, after the second-order differ...

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Abstract

The invention relates to a method for predicting the properties of an oil product through the near-infrared spectrum of the oil product. The method comprises: classifying oil products according to types, collecting a group of samples from each class of the oil products, determining the near-infrared spectrums of each sample, and determining the property data of each sample by using a standard method according to the classification of the oil products; carrying out second-order differentiation on the near-infrared spectrums of the samples, and establishing a database from absorbance and the determined property data; fitting the differential spectrum of the sample to be determined by using the differential spectrum of the sample spectrum of the database, and calculating the fitting degree ofthe fitted differential spectrum and the differential spectrum of the spectrum to be determined; and predicting the properties of the oil product to be determined by comparing the fitting degree to athreshold value through the property data of the database spectrum participating the fitting, wherein the oil product to be determined is subjected to complete spectrum fitting. With the method of the present invention, the properties of the oil product to be determined can be rapidly and accurately predicted.

Description

technical field [0001] The invention is a method for predicting properties of oil products from spectra, in particular, a method for predicting properties of oil products from near-infrared spectra. Background technique [0002] CN102374975A ​​proposes a new oil property prediction method—Library Spectra Fitting Method (Library Spectra Fitting Method). This method is based on the near-infrared spectrum library and spectrum fitting technology of oil products. Its basic principle is: samples with similar spectra The properties of the method are also similar. One or more spectra in the spectral library are used to fit 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 oil involved in the fitted spectrum. [0003] The chemical essence of the above-mentioned library spectral fitting method is that the unknown sample can be mixed from a set of library samples in a certain proportion....

Claims

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Application Information

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IPC IPC(8): G01N21/359G01N21/3577
CPCG01N21/3577G01N21/359
Inventor 褚小立许育鹏陈瀑李敬岩
Owner CHINA PETROLEUM & CHEM CORP
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