Method for building crude oil property rapid prediction model by use of reflecting near infrared fiber probe and application of method

Abstract

The invention provides a method for building a crude oil property rapid prediction model by use of a reflecting near infrared fiber probe and application of the method. The method comprises the following steps: building a crude oil calibration set, and measuring, calibrating and concentrating properties of crude oil; acquiring a near infrared spectrum of crude oil by use of the reflecting fiber probe; pre-treating the near infrared spectrum of crude oil, obtained in the step II, by use of a first-order differential method; selecting a training set sample for pre-treated spectral data by use ofa principal component analysis method; according to the to-be-measured properties of crude oil and a crude oil spectral data set, selecting a specific spectral band; and building a mathematical correlation model between the properties of crude oil and the near infrared spectral data by use of the partial least square method. During on-line application of the method, complicated sample pretreatment is not needed, and the characteristics that the operation is simple, the signal-to-noise ratio of the near infrared spectrum is high, and the precision of the quantitative analysis model is high areachieved. Through selecting a near infrared instrument and the reflecting near infrared fiber probe of which the models are appropriate, on-line / off-line rapid analysis on the properties of crude oilcan be finished.

Description

technical field [0001] The invention relates to a method for constructing a model for rapidly predicting properties of crude oil by using a reflective near-infrared optical fiber probe and its application. 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 blending, crude oil processing,...

AI Technical Summary

Problems solved by technology

If the window or lens surface of the fiber optic probe is polluted, it will affect the luminous flux and reduce the sensitivity. 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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