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Method for predicting property of hydrogenated tail oil by near-infrared spectroscopy

A near-infrared spectroscopy and hydrogenation tail oil technology is applied in the field of near-infrared spectroscopy to predict the properties of hydrogenated tail oil, which can solve the problems affecting prediction accuracy and stability, and achieve the effect of improving prediction accuracy.

Active Publication Date: 2019-05-07
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method relies on the limited number of sample property data involved in spectral fitting in the spectral library to predict the properties of the sample to be tested, which affects the accuracy and stability of the prediction.

Method used

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  • Method for predicting property of hydrogenated tail oil by near-infrared spectroscopy
  • Method for predicting property of hydrogenated tail oil by near-infrared spectroscopy
  • Method for predicting property of hydrogenated tail oil by near-infrared spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0059] Prediction of group composition and physical property data of hydrogenated tail oil.

[0060] (1) Establish a near-infrared spectrum database of hydrogenated tail oil

[0061] Collect 428 representative hydrogenated tail oil samples, and use the SH / T0659 method to determine the group composition data of each sample, including paraffins, one-ring naphthenes, two-ring naphthenes, three-ring naphthenes, four-ring naphthenes, The content of naphthenes and aromatics is determined by GB / T1995 method and GB / T3535 method respectively for its viscosity index and pour point data.

[0062] Measure the near-infrared spectrum of each sample, perform second-order differential processing on it, and select 7000-4000cm -1 Absorbance in the spectral range, the number of wavelength points for collecting absorbance in this spectral range is 875. 7000~4000cm -1 The absorbance in the spectral region corresponds to the family composition, viscosity index and pour point determined by standa...

example 2

[0081] Get 1 sample B of hydrogenated tail oil to be tested, measure its near-infrared spectrum according to the method of example 1 (3)-(5) step, set up 80 sub-libraries at random altogether, the sample number of each sub-library is 250, and use Sub-library spectrum fitting calculates its property data, and there are 55 fitting degrees s greater than the threshold s vThe sub-library, t=55, is greater than (80×0.6=)48, and the predicted value of the property data of these 55 sub-libraries is obtained by formula ⑥. 分库 , and then use the full library spectrum to fit the sample to be tested, and calculate P 全库 , the predicted value of the property data of the sample B to be tested is obtained by formula ⑧, specifically, according to P=80%P 分库 +20%P 全库 Calculate the predicted value of the property data of the sample to be tested, and the results are shown in Table 2.

example 3

[0087] Get 1 sample C of hydrogenated tail oil to be tested, measure its near-infrared spectrum by the method of example 1 (3)-(5) step, set up 80 sub-libraries at random, each sub-library sample number is 250, and use sub-library Library spectrum fitting calculates its property data, and there are a total of fitting degrees s greater than the threshold s v The sub-library, t=38, less than (80×0.6=)48, does not meet the conditions for using the sub-library spectrum fitting to calculate the properties of the sample to be tested. Repeat the method of Example 1 (3)-(5) steps again, randomly establish 90 sub-libraries, each sub-library sample number is 290, and use the sub-library spectral fitting to calculate its property data, a total of 59 fitting degrees s greater than the threshold s v sub-library, t 1 =59, greater than (90×0.6=)54, the predicted value of the property data of these 59 sub-libraries is obtained by formula ⑥P 分库 , and then use the full library spectrum to fi...

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Abstract

The invention provides a method for predicting the property of hydrogenated tail oil by near-infrared spectroscopy. The method comprises the steps that hydrogenated tail oil samples are collected; theproperty data of each sample are determined by a standard method; the near-infrared spectroscopy of each sample is determined, and second-order differential processing is carried out; the absorbanceof a spectral region from 7000-4000cm to 1 is taken, and is corresponding to the sample's property data determined by the standard method; a near-infrared spectroscopy database is established; a plurality of sub-databases are randomly selected in the near-infrared spectroscopy database; and the average value of the property data values of samples to be tested, which is acquired by spectral fittingof each sub-database, and the predicted value of the property data, which is acquired by spectral fitting of the whole database, are added in an appropriate ratio to acquire the predicted value of the property data of the hydrogenated tail oil samples to be tested.

Description

technical field [0001] The invention is a method for predicting properties of oil products by using near-infrared spectroscopy, in particular, a method for predicting properties of hydrogenated tail oil by using near-infrared spectroscopy. Background technique [0002] At present, the production process of high-quality base oil in China is mainly the full hydrogenation process, which involves a variety of processes and various materials and products. A change in one link may affect the production of the entire base oil. Hydrogenated tail oil is an important intermediate material. Hydrogenated tail oil has been well hydrotreated and modified in the process of hydrocracking. The content of aromatic hydrocarbons is low, the content of impurities such as sulfur and nitrogen is very small, and the content of naphthenes and alkanes High, very suitable for the production of lubricant base oil. [0003] Viscosity index is an important index to examine the quality of base oil, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3577G01N21/35
Inventor 朱新宇褚小立陈瀑吴梅王小伟
Owner CHINA PETROLEUM & CHEM CORP
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