Informatics Publishing Limited

Wen Zhihui ¹, Zhao Yanxia ², Wang Honglei ¹, Ren Xichao ¹

Affiliations
1 State Key Laboratory Cultivation Base for Gas Geology and Gas Control (Henan Polytechnic University), CN
2 School of Math and Information Science, Henan Polytechnic University, Jiaozuo 454 000, CN

Abstract

The paper aims at studying the influence of rules of transparent agent infiltration of coal seam on coal seam gas diffusion.With coal particles in Gecun village, Henan Province as research object, it makes use of adsorption and desorption experiments in high pressure and variable temperature for isothermal and desorption experiments that is based on three common transparent agents, fenton reagent, acetic acid and hydrochloric acid, comparing gas of coal particles before and after infiltration. Moreover, the thesis is on the basis of the new diffusion model of dynamic diffusion coefficient and applies MATLAB software to programming procedure for calculating the original diffusion coefficient D₀ of the gas desorption experiment and its attenuation coefficient β. The experimental results are as follows: transparent agents can inhibit gas adsorption of coal particles, and the inhibitory effects of these transparent agents grow stronger from acetic acid, hydrochloric acid to fenton reagent; transparent agents can promote gas diffusion of coal particles, and the inhibitory effects of these transparent agents grow stronger from acetic acid, hydrochloric acid to fenton reagent; transparent agents in coal sem can mitigate outburst risks of coal seam gas with acetic acid the best effect.

Keywords

Adsorption, Coal Particle, Desorption, Infiltration, Transparent Agent.

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Jia Bing ¹, Wen Zhihui ¹, Wang Qingjun ¹

Affiliations
1 State Key Laboratory Cultivation Base for Gas Geology and Gas Control (Henan Polytechnic University), Jiaozuo 454 000, CN

Abstract

In order to study the change features of infrasonic waves in coal sample loading, we collect coal samples from the research area, conduct both lab test and theoretic analysis, and based on filtered and de-noised signals, establish the characteristic parameter of infrasonic waves – relative energy, and analyze the changes in the energy parameter of infrasonic waves in the loading process. The analysis shows: in the loading process, the energy of infrasonic waves changes in stages, including the slow increase, rapid increase towards the peak and slow decrease stages, which are consistent with the deformation stages of coal samples, and when the coal samples enter the plastic deformation stage from the elastic deformation stage, the infrasonic waves show an obvious abnormal change. Therefore, we can predict the deformation and failures of coal samples according to the changes in the energy of infrasonic waves. At the same time, due to advantages like non-coupled contact and small attenuation, the infrasonic wave prediction method is very useful in the coal sample failure prediction. This is of great significance to improving the accuracy of coal sample failure prediction and reducing coal mine accidents.

Keywords

Infrasonic Waves, Relative Energy, Prediction Of Coal Sample Failures, Precursor Characteristics, Analytical Method.

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