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Fracture Parameters Extraction Method Based on Fusion of Borehole Optical Image and Radar Imaging Information

A radar imaging and optical image technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of low reliability, low work effect, single processing, etc., to avoid the interference of human factors, good crack effect, improve The effect of work efficiency

Active Publication Date: 2020-05-08
INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
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  • Claims
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Problems solved by technology

There are many human-involved links in this recognition operation process, not only the work effect is low, but also different operators may give different recognition results, resulting in diversity of recognition results and low reliability
Unable to realize fully automatic continuous interpretation and intelligent identification of structural surface parameters in drilling images
Especially in the borehole image with a depth of several thousand meters, the data volume of the borehole image is large, the structure is complex, the manual operation is time-consuming and laborious, and it is difficult to complete it in a short time
Moreover, most of the fracture parameters are currently extracted purely relying on optical signals or radar signals for single processing, and the calculated data often have certain errors and cannot be well verified.

Method used

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  • Fracture Parameters Extraction Method Based on Fusion of Borehole Optical Image and Radar Imaging Information
  • Fracture Parameters Extraction Method Based on Fusion of Borehole Optical Image and Radar Imaging Information
  • Fracture Parameters Extraction Method Based on Fusion of Borehole Optical Image and Radar Imaging Information

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Embodiment Construction

[0034] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0035] The fracture parameter extraction method for the fusion of borehole optical image and radar imaging information, on the premise that the optical borehole cylindrical image and radar image have been obtained, the steps are:

[0036] Step 1. Image preprocessing: load the optical drilling cylinder image, expand and convert the optical drilling cylinder image into an HSV image, extract the image saturation channel image in the HSV image, and weight the image saturation channel image Mean filtering is used to filter out noise points, and then Gamma enhancem...

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Abstract

The invention discloses a fracture parameter extraction method for the fusion of borehole optical image and radar imaging information. It includes image preprocessing steps; self-adaptive determining segmentation threshold step; matching sine function step; amplitude, initial phase and baseline extraction step; radar imaging parameter extraction step; relative permittivity acquisition step. The method of the invention is stable and reliable, has a high recognition rate, and can efficiently complete the automatic recognition and parameter extraction of the drilling surface.

Description

technical field [0001] The invention belongs to the technical fields of rock mass engineering, radar technology and image recognition, and more specifically relates to a fracture parameter extraction method for fusion of borehole optical images and radar imaging information, which is suitable for fully automatic processing and intelligent analysis of structural planes in borehole photography. Background technique [0002] In geological engineering, hydropower engineering, petroleum development and geological disaster prevention and control engineering, it is often necessary to understand the morphological characteristics of rock structural planes. In rock structural planes, the automatic recognition of these morphological features and the intelligent extraction of parameters such as inclination angles have important practical significance for exploration, engineering design and construction. [0003] At present, the interpretation and extraction of the morphological features...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/34
CPCG06V10/267G06F18/251
Inventor 李立韩增强张明睿孙涛唐新建
Owner INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
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