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Coal and gas outburst risk prediction method based on coal multivariate information

A technology of outburst risk and gas outburst, applied in forecasting, instrumentation, data processing applications, etc., can solve the problems of unclear influence degree of physical and chemical properties of coal and gas outburst, achieve novel measurement indicators, reduce workload, and improve prediction The effect of accuracy

Pending Publication Date: 2021-06-11
CHINA UNIV OF MINING & TECH +1
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  • Summary
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the degree to which the complexity of the internal macro-microstructure of coal bodies and the differences in physical and chemical properties have an impact on coal and gas outburst is still unclear.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Taking an outburst and non-outburst coal seam in a mine in Henan as an example, the following steps are included:

[0030] 1. Collect coal samples in the test area, and conduct various tests and analyzes on the collected coal samples such as industrial analysis, microscopic component analysis, thermogravimetric analysis, and infrared analysis.

[0031] 2. Obtain the coal sample structure, properties, composition, characteristics and other information of the coal seam in this area respectively. Record the industrial analysis, elemental composition, thermal properties, electrical properties, mechanical properties, initial velocity of gas emission, pore structure, functional groups, microcrystalline structure and other information of coal samples. Select key indicator information Q 1 , Q 2 , Q 3 ,...Q n .

[0032] 3. Calculate the coal seam outburst risk score S=∑Q i , compare S and S 1 , S 2The relationship between the size of the coal seam is predicted whether th...

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Abstract

The coal and gas outburst risk prediction method based on coal multivariate information is suitable for coal seam gas outburst environment monitoring. The method includes carrying out various industrial tests on the selected outburst coal samples and non-outburst coal samples, sorting test indexes, carrying out comparative analysis on an index accumulated value and an accumulated value of a normal area according to a test index analysis standard; if the index accumulated value is in the normal area, determining that the outburst risk of the coal seam is not obvious, and if the accumulated value of the index obviously changes, determining that the outburst risk of the coal seam is obvious; and finally taking the accumulated average value index of the non-outburst coal as a daily coal and gas outburst risk prediction index. According to the invention, data are comprehensive and reliable, scientificity and systematicness of coal and gas outburst risk prediction work are improved, and guidance is provided for outburst disaster prevention and control work.

Description

technical field [0001] The invention relates to a coal and gas outburst risk prediction method based on coal multivariate information, which is especially suitable for environmental monitoring of coal seam gas outburst. Background technique [0002] Coal and gas outburst is a serious coal mine dynamic disaster in the process of coal mine production. In recent years, with the deepening of mining depth, the danger of outburst is also increasing, which seriously threatens the main factor of coal mine safety production. There are more than 800 coal and gas outburst mines in my country, and the number of coal and gas outbursts is the highest in the world. In view of the serious gas outburst phenomenon in our country, it is imperative to establish effective gas outburst control measures. Outburst risk prediction is one of the important means to prevent and control coal and gas outburst accidents. [0003] Existing prediction methods mainly predict the risk of coal and gas outbur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/0635G06Q50/02
Inventor 杨威王一涵李昱辰闫发志林柏泉刘统林明华李彦君
Owner CHINA UNIV OF MINING & TECH