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Method for predicting crude oil density by infrared spectroscopy

A technology of infrared spectroscopy and crude oil, which is applied in the direction of color/spectral characteristic measurement, measuring equipment, and material analysis through optical means, and can solve problems such as quantitative analysis of difficult oil products

Active Publication Date: 2013-06-05
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

Compared with near-infrared spectroscopy that only contains hydrogen group frequency doubling and combined frequency information, mid-infrared spectroscopy (MIR) contains more molecular functional group information, but due to the inconvenience of using traditional infrared spectroscopy instruments and measurement methods, it makes it It is mostly used for qualitative analysis of molecular structure, but it is difficult to be used for quantitative analysis of oil products

Method used

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  • Method for predicting crude oil density by infrared spectroscopy
  • Method for predicting crude oil density by infrared spectroscopy
  • Method for predicting crude oil density by infrared spectroscopy

Examples

Experimental program
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Effect test

example 1

[0049] The correction model of crude oil density infrared spectrum was established and verified.

[0050] (1) Determination of crude oil density by standard method

[0051] Collect 280 crude oil samples from each major production area, measure their density with SH / T0604-2000 method, and collect 236 representative samples to form a calibration set.

[0052] (2) Establish a calibration model with the calibration set samples

[0053] The infrared spectra of the samples in the calibration set were measured with a Thermo Nicolet-6700 Fourier transform infrared spectrometer. The measurement accessory is a 45°ZnSe ATR variable temperature crystal cell from Thermo Company, and the variable temperature range is 30-60°C.

[0054] The measurement method is as follows: pour the test sample into the ZnSe ATR sample absorption cell, raise the temperature to 30°C, and perform spectral scanning with air as a reference after 2 minutes, and the number of scanning is 64 times. The spectral s...

example 2

[0067] Collect crude oil samples according to the method of Example 1, measure the density of crude oil samples by standard methods, and measure the infrared spectrum of each sample at 30°C, 40°C, 50°C, and 60°C. The difference is that the spectrum is subjected to second-order differential processing, and 650 ~1810cm -1 And 2750~3100cm -1 The absorbance after second-order differential processing in the characteristic spectral region forms a three-dimensional spectral matrix X , and then correlate with the density matrix Y with the N-PLS method to establish a calibration model, and then use the absorbance of the characteristic spectral region of the verification set samples processed by the second order differential to form a three-dimensional spectral matrix X un , substituted into the calibration model to obtain the predicted density value of the crude oil sample. The relevant statistical parameters of the calibration set and the verification set are shown in Table 3, and ...

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Abstract

A method for predicting crude oil density by infrared spectroscopy comprises the following steps: (1) collecting various crude oil samples, determining the densities of the crude oil samples by a standard method, establishing a crude oil density matrix Y; (2) determining infrared spectra of the collected various crude oil samples at different temperatures, performing first-order or second order differential processing, establishing a three dimensional spectrum matrix X (I*J*K) based on absorbances at characteristic spectrum zones of 650-1810 cm-1 and 2750-3100 cm-1, wherein I is the number of the crude oil samples, J is the wavelength point number of the characteristic spectrum zones, and K is the temperature change value, establishing a correction model with the crude oil density matrix established by the standard method by using a multidimensional partial least squares method; (3) determining the infrared spectra of a crude oil sample to be determined at different temperatures under a same condition as the collected crude oil samples, performing first-order or second order differential processing, establishing a three dimensional spectrum matrix Xun based on absorbances at characteristic spectrum zones of 650-1810 cm-1 and 2750-3100 cm-1, substituting Xun into the correction model established in step (2) to obtain the density of the crude oil sample to be determined. The method is rapid in analysis speed, high in testing accuracy, and good in repeatability.

Description

technical field [0001] The invention is a method for predicting the density of crude oil by using spectrum, specifically, a method for predicting the density of crude oil samples by infrared spectrum. Background technique [0002] At present, the price of crude oil produced and traded in the global oil trading market varies greatly, and the density of crude oil is an important reason for determining the price of crude oil. As far as the processing link is concerned, the amount of imported crude oil processed by my country's refineries is relatively large and the types are relatively complex. Most refineries are processing blended crude oil. Rapid detection of crude oil density is of great significance for optimizing feed, blending, and improving enterprise efficiency. [0003] There are many methods to measure the density of crude oil, commonly used are density meter method, pycnometer method and U-shaped vibrating tube method (SH / T0604-2000 crude oil and petroleum product ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35G01N21/3577
Inventor 李敬岩褚小立田松柏
Owner CHINA PETROLEUM & CHEM CORP
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