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Geological target recognition method based on face recognition

A face recognition and target recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as heavy workload, difficulty in identifying cracks, geological targets of holes, and large changes in size, and improve the recognition rate. Effect

Active Publication Date: 2019-02-15
YANGTZE UNIVERSITY
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Problems solved by technology

[0002] Geological target identification includes target identification such as cracks and holes. At present, it mainly relies on manual identification. Due to the heavy workload and the large changes in the shape and size of cracks and holes, it is difficult to identify geological targets such as cracks and holes by conventional logging.

Method used

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  • Geological target recognition method based on face recognition
  • Geological target recognition method based on face recognition
  • Geological target recognition method based on face recognition

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Embodiment Construction

[0032] The invention discloses a geological target recognition method based on human face recognition, which is used for recognizing geological targets such as cracks and holes in different sizes and shapes.

[0033] The following clearly and completely describes the technical solutions in the embodiments of the present invention. Apparently, the embodiments described below are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] see figure 1 , the present invention proposes following technical scheme:

[0035] The invention discloses a geological target recognition method based on human face recognition, comprising the following steps: S1, electrical imaging logging data loading and preprocessing; S2, constructing a feature face space f...

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Abstract

The invention provides a geological target recognition method based on face recognition, which is used for recognizing geological targets such as fractures and holes of different sizes and shapes. Themethod comprises the specific steps of loading the electric imaging logging data, preprocessing and processing the electric imaging logging data, generating dynamic and static images, etc., loading core data containing fractures or cavities, structured by standard geologic target feature faces; carrying out the feature extraction of training sample image; carrying out the feature extraction of test sample image; carrying out the distance function selection; carrying out the pattern matching of geological targets based on eigenface face recognition. Because the dynamic micro-resistivity imageis formed firstly and then the face recognition technology is used to recognize the geological targets of different sizes and shapes, the method has the characteristics of high accuracy and strong reliability, and can improve the recognition rate of the geological targets.

Description

technical field [0001] The invention relates to a geological target recognition method based on human face recognition, which belongs to the field of well logging technology data processing. Background technique [0002] Geological target identification includes target identification such as fractures and holes. At present, it mainly relies on manual identification. Due to the heavy workload and the large changes in the shape and size of fractures and holes, it is difficult to identify geological targets such as fractures and holes by conventional logging. Because the image features of micro-resistivity imaging logging data can identify lithofacies with different lithology, structure and structure, and can have different structures and structures for different lithologies, with different mineral particle sizes and mineral type combinations and It can be observed and identified in the arrangement form, and on this basis, higher resolution and more accurate and intuitive repre...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 张翔肖小玲
Owner YANGTZE UNIVERSITY
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