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Crude oil property rapid detection method based on recombination prediction technology

A detection method and prediction technology, which is applied in the field of crude oil property detection and rapid detection of crude oil properties based on compound prediction technology, can solve the problems of complex crude oil composition, poor prediction accuracy, and difficulty in accurately predicting crude oil properties, and achieve good real-time Sexual and economical effects

Active Publication Date: 2013-10-23
南京富岛信息工程有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

However, crude oil is more complex than gasoline
If only the cluster analysis method of topology is used, its modeling has very high requirements on the base crude oil spectral library and property database, otherwise, it will easily lead to poor prediction accuracy; if only the partial least squares fitting method is used , since the composition of different crude oils is very different, it is difficult to find a fitting formula with a high correlation between properties and spectra and a wide range of applications
[0004] Therefore, it is difficult to accurately predict the properties of crude oil with a single modeling and prediction technology

Method used

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  • Crude oil property rapid detection method based on recombination prediction technology
  • Crude oil property rapid detection method based on recombination prediction technology
  • Crude oil property rapid detection method based on recombination prediction technology

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Experimental program
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Effect test

Embodiment 1

[0030] Such as figure 1 As shown, the specific implementation process is as follows:

[0031] 1) Collect a crude oil sample to be tested, and scan it with a near-infrared spectrometer to obtain the near-infrared spectrum of the crude oil sample to be tested. Spectrum such as figure 2 shown.

[0032] 2) Using topological modeling technology to calculate the spectral distance d between the known crude oil and the crude oil to be tested in the near-infrared spectral library s . Will figure 2 Compare the spectral data in and the crude oil spectral data in the INTERTEK crude oil spectral database one by one, and calculate the spectral distance between the two according to the following formula:

[0033] d s = k × Σ Q i ( A 0 i ...

Embodiment 2

[0056] The specific process is as follows:

[0057] 1) Collect a crude oil sample to be tested, and scan it with a near-infrared spectrometer to obtain the near-infrared spectrum of the crude oil sample to be tested. Spectrum such as image 3 shown.

[0058] 2) Using topological modeling technology to calculate the spectral distance d between the known crude oil and the crude oil to be tested in the near-infrared spectral library s . Its calculation process is exactly the same as that of Example 1, which is omitted here.

[0059] By calculation, only 2 sample points (that is, the m value is 2) and the spectral distance of the sample to be tested are less than 8 can be found in the spectral library.

[0060] Table 5 satisfies d in embodiment 2 s Crude oil type numbers and corresponding d values ​​whose value is less than the spectral distance threshold s value:

[0061] Crude oil number

spectral distance

crude oil name

spectral distance

_ME_04...

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Abstract

The invention discloses a crude oil property rapid detection method based on a recombination prediction technology. The method is used for refinery enterprises, and adopts a near infrared spectrum database and the corresponding crude oil property database as a foundation. The crude oil property rapid detection method comprises the following steps of: firstly adopting a topology modelling technology to distinguish whether the topology modeling technology forecast is credible, if so, adopting the topology modeling technology to carry out crude oil key property data forecast, if not, adopting a partial least squares to carry out the crude oil key property data forecast, and guaranteeing the forecast accuracy of the crude oil key property data. The method provided by the invention can accurately forecast the crude oil property in ten minutes, so that the in-time accurate crude oil key property data is provided for the operation guidance of vacuum distillation units of the refinery enterprises, the blindness of a crude oil in a machining process is avoided, and the production efficiency and economic benefits of the refinery enterprises are improved.

Description

technical field [0001] The invention relates to the detection of crude oil properties in the field of petrochemical industry, in particular to a rapid detection method of crude oil properties based on composite prediction technology. Background technique [0002] The traditional crude oil evaluation method can provide detailed crude oil property data, but its operation is complicated and takes a long time, and it is difficult to meet the real-time requirements of crude oil property analysis in the process of crude oil processing. The rapid detection of crude oil properties is very important for guiding the operation of atmospheric and vacuum units in refineries. It is of great significance and has broad application prospects. [0003] At present, near-infrared spectroscopy combined with appropriate modeling technology has become mature for the rapid detection of the properties of light-colored oil products such as gasoline. However, crude oil is more complex than gasoline. ...

Claims

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Application Information

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IPC IPC(8): G01N21/35
Inventor 陈夕松吴沪宁梅彬
Owner 南京富岛信息工程有限公司
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