Method for rapidly predicting attribute of crude oil based on near-infrared spectroscopy

Abstract

The invention relates to a method for constructing a near-infrared model for predicating the attribute of crude oil, and a method for rapidly predicting the attribute of the crude oil based on near-infrared spectroscopy. The model construction method includes the following steps: detecting the attributes of different types of crude oil samples; determining the near-infrared spectrograms of the crude oil samples; and carrying out first-order differential processing and multiplicative scatter correction on the absorbance of the 12500-4000 cm<-1> spectral region in the near-infrared spectrograms;carrying out main component analysis on preprocessed spectra, calculating the T2 value of every crude oil sample, rejecting the values being greater than a threshold, and establishing an initial training set; selecting samples by using the Euclidean distance between the samples with the obtained main component score in the initial training set as a characteristic variable to determine a final training set; selecting one or more wave-number segments by using a moving window partial least squares technology; and establishing the near-infrared model between the attribute and the near-infrared spectrum of the crude oil by using a regression technology. The methods are especially suitable for the online fast prediction analysis of the crude oil.

Description

technical field [0001] The invention relates to a method for real-time prediction of crude oil properties based on near-infrared spectrum detection. Background technique [0002] With the rapid development of modern industry, petroleum, as a national strategic material, plays a vital role in the national economy. my country's oil resources are relatively scarce. According to the "BP World Energy Statistical Yearbook 2016" report, in 2015, China's net oil imports increased by 770,000 barrels per day, and China once again became the world's largest oil importer. There are many types of imported crude oil. Many of them are so-called "opportunity oils", which either have a large specific gravity, high acid content, or a lot of impurities. Sometimes the tanker doesn't know what oil it is until it arrives at the terminal. This requires relevant personnel to quickly evaluate these crude oils, and the pricing of crude oil must be determined according to the results of crude oil eva...

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Problems solved by technology

Therefore, traditional evaluation methods can no longer meet the needs of practical applications.

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