Method for identifying type and characteristic of crude oil through near-infrared spectrum

A technology of near-infrared spectroscopy and crude oil, applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, can solve problems such as unidentifiable, limited application range, and mixing, and achieve the effect of improving the success rate of identification

Active Publication Date: 2016-04-06
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the actual application process, because the same crude oil exploited in different periods often has certain differences in chemical composition, or other types of crude oil are mixed in the storage and transportation process, the properties of crude oil will change accordingly. Ther

Method used

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  • Method for identifying type and characteristic of crude oil through near-infrared spectrum
  • Method for identifying type and characteristic of crude oil through near-infrared spectrum
  • Method for identifying type and characteristic of crude oil through near-infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0047] Example 1

[0048] Establish a database of near infrared spectra of crude oil samples

[0049] Collected 655 representative crude oil samples, which basically cover the world's major crude oil producing areas. Measure the near-infrared spectra of crude oil samples and carry out second-order differentiation to select 6076.0~5556.0cm -1 And 4628.0~4000.0cm -1 For the absorbance of the spectral range, establish the near-infrared spectrum matrix X of the crude oil sample. The dimension of X is 655×289, where 655 is the number of samples collected from the crude oil, and 289 is the number of sampling points for the absorbance of the near-infrared spectrum.

[0050] The density, acid value, residual carbon, sulfur, nitrogen, wax, gum, asphaltene, and real boiling point distillation data of these 655 crude oil samples (TBP, cumulative mass yield at 23 temperature points: 65℃, 80℃ ,100℃,120℃,140℃,165℃,180℃,200℃,220℃,240℃,260℃,280℃,300℃,320℃,350℃,380℃,400℃,425℃,450 ℃, 470℃, 500℃, 520...

Example Embodiment

[0052] Example 2

[0053] The following example uses the method of the present invention to identify unknown petroleum samples.

[0054] (1) Establish the spectral vector of the crude oil to be identified

[0055] Measure the near-infrared spectra of the unknown crude oil sample A (intermediate base crude oil) under the same conditions as the establishment of the crude oil near-infrared spectroscopy database, and perform the second-order differentiation of its near-infrared spectra, taking 6076.0~5556.0cm -1 And 4628.0~4000.0cm -1 The absorbance of the spectral range constitutes the spectrum vector x of the crude oil to be identified A , Its dimension is 1×289.

[0056] (2) Identify unknown crude oil types in the established near-infrared spectrum library of crude oil samples

[0057] For the near-infrared spectrum matrix X and the crude oil spectrum vector x to be identified A , Respectively from 4000.0cm -1 At the beginning, take the corresponding segment of the spectrum as the moving...

Example Embodiment

[0069] Example 3

[0070] (1) Establish the spectral vector of the crude oil to be identified

[0071] Measure the near-infrared spectrum of unknown crude oil sample B (paraffin-based crude oil) according to the same conditions as the establishment of the crude oil near-infrared spectrum database, and perform the second-order differentiation of its near-infrared spectrum, taking 6076.0~5556.0cm -1 And 4628.0~4000.0cm -1 The absorbance of the spectral range constitutes the spectrum vector x of the crude oil to be identified B , Its dimension is 1×289.

[0072] (2) Identify unknown crude oil types in the established near-infrared spectrum library of crude oil samples

[0073] Crude oil spectrum vector x to be identified B According to the method of Example 2(2), calculate the moving correlation coefficient of each crude oil sample spectrum in the near-infrared spectrum matrix X of the crude oil sample one by one, and calculate the identification parameter Q. The calculated crude oil clo...

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Abstract

The invention relates to a method for identifying the type and the characteristic of crude oil through near-infrared spectrum. The method comprises that various types of crude oil samples are collected, and the physical data is determined by using a conventional method; the absorbance at the near-infrared spectrum regions 4628-4000 cm<-1> and 6076-5556 cm<-1> and the physical data corresponding to the crude oil sample are taken to establish a crude oil sample near infrared spectrum database; the absorbance of a crude oil sample to be identified at the characteristic spectrum regions of the near-infrared spectrum forms a vector x; the x is calculated, the identification parameters Qi of each sample in the crude oil sample near infrared spectrum database are calculated through movement correlation coefficients, and if all Qi are not greater than the threshold value, a plurality of samples having the maximum Qi are selected to form an adjacent database; a virtual database is established by using the adjacent database through a uniform distribution method; and the vector x is identified in the database by using the method to obtain the virtual database sample consistent with the crude oil sample to be identified, wherein the physical properties are the physical data of the crude oil sample to be detected. According to the present invention, with the method, the existing crude oil sample physical data can be effectively utilized, and the crude oil sample identification rate can be improved.

Description

technical field [0001] The invention relates to a method for identifying types of crude oil and predicting properties, in particular, a rapid evaluation method for identifying crude oil and properties of crude oil by near-infrared spectroscopy. Background technique [0002] Crude oil evaluation plays a very important role in crude oil mining, crude oil trade, crude oil processing, etc. Although a relatively complete set of crude oil evaluation methods has been established, these methods require long analysis time, heavy workload, and high cost. Can not meet the needs of practical applications. Therefore, based on a variety of modern instrumental analysis methods, including color-mass spectrometry (GC-MS), nuclear magnetic resonance (NMR), near-infrared spectroscopy (NIR) and infrared spectroscopy (IR), the rapid evaluation technology for crude oil has been developed. Among them, the NIR method is favored because of its convenient measurement, fast speed, and can be used for...

Claims

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Application Information

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IPC IPC(8): G01N21/359G01N21/3577
Inventor 褚小立陈瀑李敬岩许育鹏
Owner CHINA PETROLEUM & CHEM CORP
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