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Artificial intelligence-based rock lithology rapid classification and identification method and device

A rapid classification and artificial intelligence technology, applied in the field of geophysical exploration, can solve the problems of long period, high cost, and inability to realize rapid classification and identification of rocks

Inactive Publication Date: 2021-05-14
CHENGDU UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

[0003] The existing petrophysical classification and identification method is to take the core taken out of the well back to the laboratory for testing, which is costly and takes a long time. This method cannot realize rapid classification and identification of rocks in field operations.

Method used

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  • Artificial intelligence-based rock lithology rapid classification and identification method and device

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Embodiment Construction

[0029]Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0030]Such asfigure 1 As shown, the present invention provides a rapid classification identification method based on the artificial intelligence of rock, including the following steps:

[0031]Step S1, the original rock image data is introduced to train the convolutional neural network INCEPTION-V3 model to obtain the property classification characteristics of the rock;

[0032]Step S2, select the identification name corresponding to the original rock image data according to the attribute classification feature of the rock.

[0033]As a p...

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Abstract

The invention discloses an artificial intelligence-based rock lithology rapid classification and identification method and device, and the method comprises the steps: inputting original rock image data into a trained convolutional neural network Inception-v3 model, and obtaining the attribute classification features of rock; selecting an identification name corresponding to the original rock image data according to the attribute classification features of the rock; according to the invention, rocks can be quickly classified and identified on a field operation site.

Description

Technical field[0001]The present invention belongs to the field of geophysical exploration technology, and in particular, the present invention relates to a rapid classification and identification method and apparatus based on artificial intelligence.Background technique[0002]In carrying out the needs of rock categories for fast classification recognition, on-site workers provide reference views on the construction of the work area based on the rocky classification analysis results. The rapid development of artificial intelligence provides a broad application prospect for data processing in data classification, and the development of embedded electronic technology has made real-time calculation increasingly broken through space limitations, the combination of the two makes it in the field of geophysical exploration field Rock fast classification recognition is possible.[0003]The existing rocky classification identification is to test the core of the core taken back to the well and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V10/462G06F18/24
Inventor 王绪本王向鹏张翔李小甲杨锐沈迪杨钰菡
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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