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

A technology of near-infrared light and near-infrared spectroscopy, which is used in the construction of a model for quickly predicting the properties of crude oil by using a reflective near-infrared optical fiber probe and its application field. and decreased sensitivity

Inactive Publication Date: 2018-03-30
EAST CHINA UNIV OF SCI & TECH
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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

Method used

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

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Embodiment 1

[0122] The specific steps of the present invention are described below with the embodiment of sulfur content prediction including:

[0123] Step 1: Collect 156 different types of crude oil samples, 122 as a calibration set, and 34 as a verification set.

[0124] Step 2: The temperature of the sample is controlled at 30°C, and a BRUKER near-infrared spectrometer and a detachable BRUKER reflection-type near-infrared optical fiber probe with a sapphire window material metal sleeve at the bottom are selected for test determination. Measure the near-infrared spectrum of crude oil samples by inserting the near-infrared optical fiber probe directly into each crude oil sample, and the scanning range of the spectrum is 4000-12500cm -1 , resolution 32cm -1 , the cumulative number of scans is 400 times. And the sulfur content and API of crude oil samples were measured according to traditional standard methods. image 3 is the original near-infrared spectrum of crude oil. It can be se...

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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,...

Claims

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Application Information

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