Construction of near-infrared rapid analysis method for crude oil properties using Gaussian process regression model

Abstract

The invention discloses a method for fast near-infrared analysis of crude oil properties by using a Gaussian process regression model. The method for constructing the model that is used for crude oil property prediction comprises: (1) measure the property data of crude oil sample; (2) measure the near-infrared spectrogram of described crude oil sample; (3) utilize subtracting a straight line to step (2) obtain The near-infrared spectrogram is preprocessed to eliminate background interference and baseline drift; (4) carry out principal component analysis (PCA) on the spectrum obtained in step (3), and save the load vectors with a contribution rate of eigenvalues ​​greater than 95%. pca ; (5) use P pca After reducing the dimensionality of the training subset composed of randomly drawn samples, the sub-model is obtained through Gaussian process regression (GPR); (6) using P pca After reducing the dimensionality of the near-infrared spectrum of the sample to be tested, the training set is selected by Gaussian process regression (GPR); (7) Determine one or more wavenumber segments according to the training set, and use the partial least square method (PLS) to establish the prediction of crude oil properties Model.

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...

AI Technical Summary

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 greatly from the current working conditions and the prediction accuracy cannot meet the needs of online detection, the model can be updated in a timely and effective manner

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