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A Quantitative Analysis Method of Coal Reservoir Pore Structure Parameters Based on SEM Image

A technology for quantitative analysis of pore structure parameters, applied in the field of separation, can solve the problems of inability to obtain the pore coordination number of coal reservoir permeability, poor calculation accuracy of pore radius, and long analysis time, so as to achieve convenient processing and low manpower and material resources. , the effect of high calculation accuracy

Active Publication Date: 2022-07-19
CHINA UNIV OF GEOSCIENCES (BEIJING)
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Problems solved by technology

[0004] (1) The calculation accuracy of the pore radius is poor, and the analysis takes a long time, and the cost of use is very high
[0005] (2) The pore coordination numbers that affect the permeability of coal reservoirs cannot be obtained by conventional CT or NMR techniques

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  • A Quantitative Analysis Method of Coal Reservoir Pore Structure Parameters Based on SEM Image
  • A Quantitative Analysis Method of Coal Reservoir Pore Structure Parameters Based on SEM Image
  • A Quantitative Analysis Method of Coal Reservoir Pore Structure Parameters Based on SEM Image

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Embodiment Construction

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] like figure 1 As shown, the present invention provides a method for quantitative analysis of pore structure parameters of coal reservoirs based on SEM images. It should be noted that the pore structure parameters of coal reservoirs quantitatively analyzed in this embodiment include pore radius distribution map, average pore radius, The distribution map of pore coordination number and the average pore coordination number, this ...

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Abstract

The invention discloses a method for quantitative analysis of pore structure parameters of coal reservoirs based on SEM images. Perform binarization processing to obtain a binary image; establish a two-dimensional coordinate system about the binary image, identify the pixel values ​​corresponding to all pixel points in the binary image corresponding to each coal reservoir sample according to the matrix traversal method, and mutate the pixel values The pixel points are used as the pore edge and divide the pore space individuals in the binary image; determine the coordinate value of each pixel point in the two-dimensional coordinate system and calculate the pore radius of each pore space individual, and obtain each pore space in the binary image. Pore ​​coordination number of individual pore space; output histogram of pore radius distribution, pore coordination number histogram, average pore radius and average pore coordination number of each coal reservoir sample; The calculation accuracy is high and the implementation cost is low.

Description

technical field [0001] The invention relates to the technical field of separation, in particular to a method for quantitative analysis of pore structure parameters of coal reservoirs based on SEM images. Background technique [0002] Coal pores are the storage sites and migration channels for groundwater and coalbed methane. Its structural characteristics (number of pores, single pore size, pore distribution characteristics, and pore connectivity) directly affect the enrichment and seepage migration of coalbed methane. The pore characteristics of coal are of great significance to coal mine gas drainage and CBM development. The pore characteristics of coal reservoirs include pore type, structure, size, quantity, etc. It is one of the important parameters to measure the storage and migration performance of CBM. The research content of coal pores includes pore size, shape, structure, type, porosity, pore volume, and specific surface area characteristics. The uneven distribution...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/08G06T7/13
CPCG01N15/088G06T7/13
Inventor 久博黄文辉郝睿林于春兰
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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