Method for constructing model for rapid analysis of crude oil properties based on near-infrared spectrum by using Gaussian process regression model

A technology of Gaussian process regression and near-infrared spectroscopy, which is applied in the direction of material analysis, material analysis, and measuring devices through optical means

Active Publication Date: 2019-02-12
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

For the process industry, the continuity of production often requires the model to be able to track the on-site working conditions in real time; and when the model deviates

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  • Method for constructing model for rapid analysis of crude oil properties based on near-infrared spectrum by using Gaussian process regression model
  • Method for constructing model for rapid analysis of crude oil properties based on near-infrared spectrum by using Gaussian process regression model
  • Method for constructing model for rapid analysis of crude oil properties based on near-infrared spectrum by using Gaussian process regression model

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Embodiment 1

[0155] The specific steps of the present invention are described below with the embodiment of sulfur content prediction including:

[0156] Step 1: Collect 200 crude oil samples of different types to form a crude oil sample library.

[0157] Step 2: The temperature of the sample is controlled at 30°C, and a Bruker near-infrared spectrometer is selected for test determination. Measure the near-infrared spectrum of crude oil samples by directly inserting the probe into each crude oil sample, and the scanning range of the spectral range is 4000-12500cm -1 , resolution 16cm -1 , the cumulative number of scans is 32 times. And the sulfur content of crude oil samples was measured according to traditional standard methods. image 3 is the original near-infrared spectrum of crude oil. It can be seen that the baseline of the original spectrum drifts seriously, and the spectral peaks overlap seriously.

[0158] Step 3: Select 4000-12500cm -1 The absorbance in the range of the spec...

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Abstract

The invention discloses a method for constructing a model for rapid analysis of crude oil properties based on a near-infrared spectrum by using a Gaussian process regression model. A method for constructing a model for predicting the crude oil properties comprises the following steps of: (1) determining the property data of a crude oil sample; (2) determining a near-infrared spectrum of the crudeoil sample; (3) preprocessing the near-infrared spectrum obtained in step (2) by subtracting a straight line to eliminate the background interference and the baseline drift; (4) performing principal component analysis (PCA) on the spectrum obtained in step (3), and storing a load vector with the contribution rate of the feature value greater than 95% as P<pca>; (5) using the P<pca> to reduce the dimension of the training subset composed of randomly selected samples, obtaining a sub-model by the Gaussian process regression (GPR); (6) selecting the training set by the Gaussian process regression(GPR) after the dimensional reduction of the near-infrared spectrum of the sample to be tested by the P<pca>; and (7) determining one or more wavenumber segments according to the training set, and using the partial least squares (PLS) method to establish a prediction model for crude oil properties.

Description

technical field [0001] The invention relates to a method and application for constructing a near-infrared rapid analysis of crude oil properties by using a Gaussian process regression model. Background technique [0002] Crude oil evaluation plays an important role in crude oil mining, trade, processing, etc. my country has been carrying out related work on crude oil evaluation. At present, there is a complete set of standard evaluation methods, but these methods often take a long time to analyze and require samples. The amount is large and the analysis cost is high, which can no longer meet the needs of practical applications. Near-infrared analysis technology is currently one of the most promising and widely used rapid analysis methods. In recent years, the application of optical fiber in the field of near-infrared spectroscopy has brought near-infrared spectroscopy from the laboratory to the field. Near-infrared spectroscopy has the advantages of insensitivity to electrom...

Claims

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Application Information

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IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 钱锋钟伟民杨明磊杜文莉隆建
Owner EAST CHINA UNIV OF SCI & TECH
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