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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

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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. Therefore, using the method of CN200910169611.8, it is often impossible to identify the type of crude oil that is completely consistent with the crude oil to be tested from the crude oil near-infrared spectrum library, which greatly limits the application range of this rapid identification technology

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

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Effect test

example 1

[0048] Establishment of near-infrared spectral database of crude oil samples

[0049] 655 representative crude oil samples were collected, and the crude oil varieties basically covered the world's major crude oil producing areas. Measure the near-infrared spectrum of the crude oil sample, perform second-order differentiation on it, and select 6076.0~5556.0cm -1 and 4628.0~4000.0cm -1 For the absorbance in the spectral range, the near-infrared spectrum matrix X of crude oil samples is established. The dimension of X is 655×289, where 655 is the number of samples collected for crude oil, and 289 is the number of sampling points for the near-infrared spectrum absorbance.

[0050] The density, acid value, carbon residue, sulfur, nitrogen, wax, colloid, asphaltene, and real boiling point distillation data (TBP, cumulative mass yield of 23 temperature points: 65°C, 80°C , 100°C, 120°C, 140°C, 165°C, 180°C, 200°C, 220°C, 240°C, 260°C, 280°C, 300°C, 320°C, 350°C, 380°C, 400°C, 425°C...

example 2

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

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

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

[0056] (2) Identify unknown crude oil species in the established near-infrared spectral 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 Take a corresponding section of the spectral interval as the moving window, and th...

example 3

[0070] (1) Establish the spectral vector of 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 near-infrared spectrum database of crude oil, and perform second-order differentiation on its near-infrared spectrum, taking 6076.0~5556.0cm -1 and 4628.0~4000.0cm -1 The absorbance in the spectral range constitutes the spectral vector x of the crude oil to be identified B , whose dimension is 1×289.

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

[0073] Crude oil spectrum vector x to be identified B , according to the example 2 (2) step method, calculate its mobile correlation coefficient with each crude oil sample spectrum in the near-infrared spectrum matrix X of crude oil sample one by one, calculate the identification parameter Q. The calculated crude oil No. 323 clos...

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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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