Method and system for automatically identifying different mineral pores of shale

A technology for automatic identification and shale, applied in character and pattern recognition, acquisition/recognition of microscopic objects, analysis of suspensions and porous materials, etc. It can solve the problems of different processing results, errors, cumbersome steps, etc.

Active Publication Date: 2019-08-20
NORTHEAST GASOLINEEUM UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The artificial threshold method has the same problem as the manual hand-drawn method: the processing results vary from person to person due to the different geological experience of the operator
The edge extraction method can effectively extract the edges of pores, but in the process of processing large-area images, due to kerogen edges, mineral edges, sample surface roughness (edges) and pollutant edges caused by sample pretreatment will be extracted, resulting in a large number of errors, and in the extraction of shallow holes
In the case of inclined and angular pores, due to incomplete edge extraction, the pores cannot be filled during the process of pore filling, resulting in errors
[0006] The watershed method is similar to the edge extraction method. It firstly performs differential processing on the image, but the watershed method will then find out the areas below a certain value, divide these areas into smaller areas, and separate these different areas. The area is identified as pores, but the watershed method has similar problems with the edge extraction method. Kerogen, minerals, pretreatment and pollutants will cause a lot of errors, and the large pores with different internal roughness will be divided into different small pores by the watershed method. porosity
[0007] The above method can only identify the pores. In order to identify whether the pores are organic pores or inorganic pores, at present, energy spectrometers are usually used to obtain EDS energy spectra, and different minerals and kerogen distribution maps and pore maps obtained by EDS energy spectra are used to carry out Overlaying, and then judging the organic pores and inorganic pores, the method steps are cumbersome and the resolution of mineral and kerogen distribution maps obtained by EDS is low, and the accuracy of identification results is not high

Method used

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  • Method and system for automatically identifying different mineral pores of shale
  • Method and system for automatically identifying different mineral pores of shale
  • Method and system for automatically identifying different mineral pores of shale

Examples

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Embodiment 1

[0097] figure 1 It is a flow chart of the method for automatic identification of different mineral pores of shale in Example 1 of the present invention.

[0098] see figure 1 , the method for automatic recognition of different mineral pores of mud shale of the embodiment, comprising:

[0099] Step S1: Obtain the grayscale image of the mud shale scanning electron microscope.

[0100] Step S2: Determine the inorganic mineral pore map and the kerogen region map of the SEM grayscale map of the mud shale.

[0101] The step S2 specifically includes:

[0102] 1) Counting the number of pixels of each gray value in the SEM gray image of the mud shale to obtain a relationship curve of the number of pixels changing with the gray value.

[0103] 2) Determine the gray value corresponding to the highest point of the organic matter peak, the gray value corresponding to the highest point of the main mineral peak, the gray value and the peak width corresponding to the bright mineral peak i...

Embodiment 2

[0152] The method for automatic recognition of different mineral pores of mud shale in this embodiment includes:

[0153] Step 1: Use a scanning electron microscope to obtain a scanning electron microscope image of the mud shale and use an energy spectrometer to obtain an energy spectrum mineral distribution map corresponding to the grayscale image of the mud shale scanning electron microscope. Convert the mud shale scanning electron microscope image into an 8-bit grayscale image, count the number of pixels in each grayscale of 0 to 255 in the mud shale scanning electron microscope grayscale image, and draw the variation of the number of pixels with the grayscale relationship curve, see figure 2 , in the relationship curve composed of multiple points, each scatter point represents the number of pixels corresponding to a gray value.

[0154] Step 2: Use the Gaussian peak fitting method to fit the relationship curve obtained in step 1 to obtain a fitting curve, from which the ...

Embodiment 3

[0180] The present invention also provides an automatic recognition system for different mineral pores of mud shale, Figure 16 It is a schematic structural diagram of an automatic identification system for different mineral pores of mud shale in Example 3 of the present invention. see figure 1 , The automatic recognition system for different mineral pores of mud shale includes:

[0181] The image acquisition module 1601 is configured to acquire the grayscale image of the mud shale scanning electron microscope.

[0182] The first determining module 1602 is configured to determine the inorganic mineral pore map and the kerogen region map of the grayscale image of the scanning electron microscope of the mud shale.

[0183] The expansion module 1603 is configured to perform an expansion operation on the inorganic mineral pore map to obtain the expanded inorganic mineral pore map.

[0184]The second determination module 1604 is configured to compare the inorganic mineral pore m...

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Abstract

The invention discloses a method and system for automatically identifying different mineral pores of shale. The method comprises the following steps that: the inorganic mineral pore image and a kerogen area image of a shale scanning electron microscope grayscale image are determined; expansion operation is performed on the inorganic mineral pore image, so that an expanded inorganic mineral pore image is obtained; the inorganic mineral pore image is compared with the expanded inorganic mineral pore image, a region which exists in the expanded inorganic mineral pore image while dose not exist inthe inorganic mineral pore image is determined as an expanded region; the quantities of the pixel points of siliceous minerals, calcium minerals and clay minerals are put into statistics; the proportion of the siliceous minerals, the proportion of the calcium minerals, the proportion of the clay minerals are calculated according to the quantities of the pixel points of the minerals; a mineral pore triangular graph layout is drawn according to the proportions of the minerals; and mineral types corresponding to pores in the inorganic mineral pore image are determined according to the mineral pore triangular graph layout. The method disclosed by the invention not only can improve the precision of mineral pore identification, but also can be used for quantitatively identifying minerals controlling pores.

Description

technical field [0001] The invention relates to the technical field of mineral pore identification, in particular to an automatic identification method and system for different mineral pores of mud shale. Background technique [0002] Scanning electron microscopy is a technology that uses high-energy electrons to scan the surface of a sample, which can effectively reflect the topographical characteristics of the sample surface. The resolution of secondary electrons is generally 5-10nm. In the area below the surface (such as pores), its brightness will be darker than that of the edge area, and the edge will accumulate charge, which is very bright, forming a circle of bright edges. The traditional pore extraction method is to extract pores to a certain extent through manual hand drawing, threshold method, edge extraction method, and watershed method. [0003] The results of the manual hand-drawing method vary greatly due to the different geological experience of the operators...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N23/2251G06K9/00G06V10/44
CPCG01N23/2251G06V20/69G06V20/695G06T7/12G06T7/136G06T7/155G06T7/0004G06T2207/10061G06T2207/20152G06T11/206G01N33/24G06V10/44G01N15/08G06T7/13G06T7/70G06T3/40G06T5/50G06T2207/20221G06F18/24
Inventor 田善思曾芳薛海涛卢双舫赵日新王民李吉君陈国辉
Owner NORTHEAST GASOLINEEUM UNIV
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