A method for constructing a model for rapid prediction of crude oil properties using near-infrared spectrometer

Abstract

The invention discloses a method for establishing models for rapidly predicting crude oil properties by the aid of an attenuated total reflection probe and a near-infrared spectroscopy and an application of the method. The method includes: 1), establishing a training set of crude oil, and measuring properties of the crude oil in the training set; 2), measuring a near-infrared spectrogram of the crude oil in a near-infrared spectral region with the attenuated total reflection probe; 3), subjecting near-infrared spectrum, of the crude oil, obtained in the step 2) to pre-processing; 4), performing selection of training set samples on pre-processed spectrum data, and removing abnormal sample points; 5), selecting specific spectrum wave numbers according to to-be-measured properties of the crude oil and the spectrum data of the crude oil and establishing mathematical correlation models between the crude oil properties and the near-infrared spectrum data by the aid of a partial least squaresmethod. With the method, unknown crude oil properties can be predicated and analyzed rapidly; complex sample pretreatment is not needed, and the method has the advantages of simpleness in operation,high signal-to-noise ratio of the near-infrared spectrum, high precision of quantitative analysis of the models and the like.

Description

technical field [0001] The invention relates to a method for constructing a model for quickly predicting properties of crude oil by using an attenuated total reflection probe and a near-infrared spectrometer and an application thereof. Background technique [0002] Crude oil is the most important raw material for refining and chemical enterprises. On the one hand, the demand for crude oil has increased sharply, the import volume has expanded, and the price has remained high and fluctuated frequently; There are many characteristics such as differences in properties, high requirements for feed materials to the device, and difficulty in grasping the properties of blended oil. These have brought tremendous pressure to refining and chemical enterprises. Timely access to the current crude oil property evaluation data—that is, crude oil rapid evaluation, will provide support for the optimization of production processes such as crude oil trade, crude oil transportation, crude oil b...

AI Technical Summary

Problems solved by technology

Contamination of the window or lens surface of the transflective probe will affect the luminous flux and reduce the sensitivity, and the interference of external light during the test will reduce the signal-to-noise ratio and sensitivity of the test

Conventional transmission optical fiber probes do not carry enough sample information when measuring dark crude oil, and in practical applications, the flow cell is easily adhered by viscous crude oil, resulting in sample spectrum distortion, low model prediction accuracy, and heavy on-site instrument maintenance workload. , affecting the actual application effect

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