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Rock debris type identification method and system, storage medium and equipment

A technology of type identification and cuttings, applied in measurement devices, instruments, material analysis by optical means, etc., can solve the problems of large background noise, poor identification effect, and unsatisfactory, and achieve good test reproducibility, Fast, low-cost effects

Pending Publication Date: 2021-02-19
YANGTZE UNIVERSITY
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  • Application Information

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Problems solved by technology

[0004] The first method is to use laser-induced breakdown spectroscopy combined with partial least squares discriminant analysis to realize automatic identification of rock samples. There are two main experimental models adopted: one is the full-spectrum model, and the identification results of this method are relatively comparable. High, but there are more data to be processed, and the influence of background noise is greater
[0005] The second method is the peak intensity and ratio model (feature model). This method is relatively simple in data processing, but the recognition accuracy rate has declined.
Among these methods, although some recognition effects are better, they are still not ideal. At the same time, data processing is time-consuming, while other methods have poor recognition effects.

Method used

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  • Rock debris type identification method and system, storage medium and equipment
  • Rock debris type identification method and system, storage medium and equipment

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Experimental program
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Embodiment 1

[0036] This embodiment provides a cuttings type identification method, see figure 1 , the method of this embodiment includes the following steps:

[0037] S1. Irradiate the pulsed high-energy laser on the cuttings to measure the laser-induced breakdown spectra and photoacoustic signals of N standard cuttings samples;

[0038] In the embodiment of this application, the types of standard cuttings samples cannot be too small, that is, the number N of standard cuttings samples cannot be less than 5;

[0039] The larger the N value, the more types of cuttings can be identified, and the better the identification effect.

[0040] The pulsed high-energy laser is a nanosecond laser, a picosecond laser or a femtosecond laser, and its laser energy causes the sample to generate plasma, thereby emitting an atomic or ion spectrum.

[0041] S2. Perform wavelet transform on the laser-induced breakdown spectra of N standard cuttings samples to obtain wavelet transform coefficients of laser-i...

Embodiment 2

[0051] Based on the same inventive concept as in Embodiment 1, this embodiment provides a cuttings type identification system, see figure 2 , the system includes a measurement module, a processing module, a model building module, and an identification module;

[0052] The measurement module uses pulsed high-energy lasers to measure the laser-induced breakdown spectra and photoacoustic signals of N standard cuttings samples;

[0053] The processing module performs wavelet transform processing and Fourier transform processing on the laser-induced breakdown spectra and photoacoustic signals of N kinds of standard cuttings and cuttings to be tested, respectively, so as to obtain laser spectra of N kinds of standard cuttings and cuttings to be tested Induced breakdown spectral wavelet transform coefficients, spectral data of photoacoustic signals.

[0054] The model building module uses the laser-induced breakdown spectrum wavelet transform coefficients of N standard cuttings sampl...

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Abstract

The invention relates to a rock debris type identification method, and the method is characterized in that the method comprises the following steps: obtaining a laser-induced breakdown spectrum wavelet transform coefficient of a standard rock debris sample and frequency spectrum data of a photoacoustic signal through pulse high-energy laser, and constructing a rock debris type prediction model byusing the laser-induced breakdown spectrum wavelet transform coefficient and the frequency spectrum data as input signals; obtaining a laser-induced breakdown spectroscopy wavelet transform coefficient of the rock debris sample to be detected and spectral data of the photoacoustic signal by using the same method, and obtaining an identification result of the type of the rock debris sample to be detected by using the constructed rock debris type prediction model. The method has the advantages that two signals generated when the pulse high-energy laser irradiates the rock debris are fully utilized, the two signals are combined, the type of the rock debris to be tested can be accurately obtained, and the method has the advantages of being high in speed, high in efficiency, low in cost, good in test reproducibility, capable of achieving online analysis and the like.

Description

technical field [0001] The invention relates to the technical field of cuttings type identification, in particular to a cuttings type identification method, system, storage medium and equipment. Background technique [0002] In recent years, with the rapid development of new oil drilling technology, the cuttings returned from the bottom of the well have been very finely divided, even powdered, which makes the traditional description of cuttings very difficult. [0003] At present, the methods of laser-induced breakdown spectroscopy applied to rock type identification mainly include: [0004] The first method is to use laser-induced breakdown spectroscopy combined with partial least squares discriminant analysis to realize automatic identification of rock samples. There are two main experimental models adopted: one is the full-spectrum model, and the identification results of this method are relatively comparable. High, but there are more data to be processed, and the influe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/71G01N21/17
CPCG01N21/718G01N21/1702G01N2021/1706
Inventor 王阳恩姚平
Owner YANGTZE UNIVERSITY
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