Method for characterizing three-dimensional pore network structure parameters of coal rock

A network structure, coal and rock technology, applied in the direction of permeability/surface area analysis, suspension and porous material analysis, measurement devices, etc., can solve the problems that cannot truly reflect the network topology characteristics of the pores of coal and rock mass, and achieve easy realization , The operation process is simple and the effect of comprehensive characterization

Active Publication Date: 2018-07-20
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0004] The above-mentioned characterization methods surrounding the pore connectivity structure of coal and rock mass are of great significance to the characterizatio

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  • Method for characterizing three-dimensional pore network structure parameters of coal rock
  • Method for characterizing three-dimensional pore network structure parameters of coal rock
  • Method for characterizing three-dimensional pore network structure parameters of coal rock

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing.

[0029] Such as figure 1 As shown, a quantitative characterization method of coal-rock pore network structure parameters includes the following steps:

[0030] The first step is to measure the porosity of sampled coal and rock;

[0031] The second step is to process the sampled coal and rock into a cylinder, wherein the height of the cylinder and the diameter and length of the cross section range from 2 to 50 mm;

[0032] The third step is to obtain a two-dimensional image of the cross-section of the coal core by scanning technology;

[0033] The fourth step, according to the coal porosity measured in the first step, determine the binarization threshold of the scanned image;

[0034] The fifth step is to establish a three-dimensional digital core of the coal core according to the scanned image of the two-dimensional coal core;

[0035] The sixth step is to extract the 3D...

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Abstract

A method for characterizing the pore network structure of a coal rock comprises the following steps: obtaining three-dimensional data of a coal rock core pore structure by a CT technology, establishing a three-dimensional digital rock core, and establishing a three-dimensional pore network by using a central axis algorithm; simplifying the model data of the pore network, simplifying pores into nodes, simplifying pore passages into edges, marking the pores, and deriving pore communication information; and using a complex network to characterize the basic information of the network, comprising the total number of the nodes, the total number of the edges, node distribution, the average degree of the nodes, the average path length of the network, the network clustering coefficient, the networkmedia, the network density and the network robustness. Compared with traditional coal rock pore structure analysis methods, the method in the invention increases network property analysis, can analyze the seepage law of different pore network communication structures having the same porosity to achieve the purpose of improving the existing gas recovery rate at the microscopic level, and adopts acomplex network theory to quantitatively characterize the pore structure network parameters of the coal rock in order to accurately and comprehensively characterize the pore network communication property of the coal rock.

Description

technical field [0001] The invention belongs to the field of mine gas drainage, and in particular relates to a quantitative characterization method for coal rock pore network structure parameters. Background technique [0002] The pore shape of gas-bearing coal rock mass is complex and distributed across scales, and its structural characteristics are one of the main factors affecting the gas storage and migration mechanism. Quantitative characterization of the shape, connectivity, and seepage path selection of three-dimensional pores in coal rocks is of great significance for studying the mechanism of gas accumulation in reservoirs, revealing the mechanism of gas migration and improving oil recovery. [0003] To this end, Professor Ghous from the University of New South Wales in Australia used high-precision CT scanning and focused ion beam scanning to obtain the rock morphological structure of macropores and micropores respectively, established a network model by fusing por...

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Application Information

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IPC IPC(8): G01N15/08
CPCG01N15/088
Inventor 刘冠男李忠孝梁鑫叶大羽高峰郭浩天张文君
Owner CHINA UNIV OF MINING & TECH
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