Experimental study of the impact of gas adsorption on coal and gas outburst dynamic effects

Cao, Jie; Dai, Linchao; Sun, Haitao; Wang, Bo; Zhao, Bo; Yang, Xuelin; Zhao, Xusheng; Guo, Ping

doi:10.1016/j.psep.2019.05.020

Cited by 61 publications

(23 citation statements)

References 30 publications

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“…The outburst process is typically divided into four stages—the accumulation stage, trigger stage, development stage, and termination stage [ 15 , 30 , 31 ]—as shown in Figure 3 . During the outburst accumulation stage, the main indicators are the mining activities, which lead to stress concentration and coal instabilities.…”

Section: Experimental Methodsmentioning

confidence: 99%

“…The trend indicates that significant progress has been made in their prevention and control, as the number of disasters and deaths has decreased considerably since 2000. However, in recent years the depth and intensity of mining has escalated, continuously enhancing the gas content and pressure, and the geologic structures are becoming more complicated [ 15 , 16 , 17 ]. Thus, the risk of outbursts is increasing, and outburst prevention is crucial.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Temperature Variation during Coal and Gas Outbursts: Implications for Outburst Prediction in Coal Mines

Zhang

Wang

et al. 2020

Sensors

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Coal and gas outbursts are among the most severe disasters threatening the safety of coal mines around the world. They are dynamic phenomena characterized by large quantities of coal and gas ejected from working faces within a short time. Numerous researchers have conducted studies on outburst prediction, and a variety of indices have been developed to this end. However, these indices are usually empirical or based on local experience, and the accurate prediction of outbursts is not feasible due to the complicated mechanisms of outbursts. This study conducts outburst experiments using large-scale multifunctional equipment developed in the laboratory to develop a more robust outburst prediction method. In this study, the coal temperature during the outburst process was monitored using temperature sensors. The results show that the coal temperature decreased rapidly as the outburst progressed. Meanwhile, the coal temperature in locations far from the outburst mouth increased. The coal broken in the stress concentration state is the main factor causing the abnormal temperature rise. The discovery of these phenomena lays a theoretical foundation and provides an experimental basis for an effective outburst prediction method. An outburst prediction method based on monitoring temperature was proposed, and has a simpler and faster operation process and is not easily disturbed by coal mining activities. What is more, the critical values of coal temperature rises or temperature gradients can be flexibly adjusted according to the actual situations of different coal mines to predict outbursts more effectively and accurately.

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Section: Experimental Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Temperature Variation during Coal and Gas Outbursts: Implications for Outburst Prediction in Coal Mines

Zhang

Wang

et al. 2020

Sensors

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“…At the same time, China's shallow coal resources are gradually depleted, and the mining of deep coal resources is increasingly becoming a demand for the coal industry [5]. However, the coupling of coal and rock gas dynamic disasters in deep environments such as high ground stress, high gas pressure, and high ground temperature is more complicated [5][6][7]. Large-scale physical simulation analysis of this scientific problem is currently the most applicable research method [1,8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Accuracy and Stability of Gas Outburst Experimental System

et al. 2021

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Gas outburst is an important issue in deep coal mining. At present, the gas-rock coupling change mechanism and intensity prediction of gas outburst are not clear. The research of gas outburst simulation experiment is particularly important. The State Key Laboratory of Gas Disaster Monitoring and Emergency Technology of China independently developed a large-scale coal and gas outburst physical simulation test system. However, the influence of the design parameters of the testing machine on the stability and accuracy of the simulation experiment is unclear. The article analyzes the energy conversion in the process of gas outburst through experimental simulation phenomena and results. The experimental simulation results show that the energy released by the CO2 gas in similar materials is the most important energy source. The cracks of similar materials increase the nominal volume of similar materials, and the deformation energy stored in similar materials slightly increases. The experimental simulation results are consistent with the actual situation on site. Combined with CAE simulation analysis, the displacement and pressure of the indenter of the experimental machine remained basically unchanged during the experiment, and the system did not produce resonance. Comprehensive analysis shows that the design of the test machine meets the simulation requirements.

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“…Coal and gas outbursts are complex dynamic disasters, which, based on a comprehensive supposition, result from interactions among the structural mechanical properties of coal, ground stress, and gas pressure . In addition, coal and gas outbursts are closely related to geological structure, adsorption characteristics, and other factors . Through protracted and unremitting efforts, researchers from several countries have advanced various outburst prediction methods based on the understanding of outburst mechanisms.…”

Section: Introductionmentioning

confidence: 99%

“…Liang et al studied the relevant influence factors for the prediction method based on initial expansion energy of the released gas. The roles of gas pressure and gas adsorption in coal and gas outbursts were also studied …”

Section: Introductionmentioning

confidence: 99%

Applications of online integrated system for coal and gas outburst prediction: A case study of Xinjing Mine in Shanxi, China

Zhao

Sun

Cao

et al. 2020

Energy Science & Engineering

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In this study, an indicator model and system for coal and gas outburst prediction are identified and established based on gas geological anomalies, mining stress, and gas emission characteristics. In this regard, the coal and gas outburst prevention techniques and mine rules in China are taken into account. In addition, using this model, an online integrated system and database for coal and gas outburst prediction were built for Xinjing Mine in Shanxi Province. The application results of the prediction system indicate that the system software and hardware can guarantee early warning of coal and gas outburst. The system is continuous and stable, and the early warning results are issued in a timely and accurate manner. The accuracy of the early warning results is high and consistent with the actual risk of the mine. K E Y W O R D Scase study, coal and gas outburst, coal mine, multisource information, prediction | 1981 ZHAO et Al.

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Experimental study of the impact of gas adsorption on coal and gas outburst dynamic effects

Cited by 61 publications

References 30 publications

Research on Temperature Variation during Coal and Gas Outbursts: Implications for Outburst Prediction in Coal Mines

Research on Temperature Variation during Coal and Gas Outbursts: Implications for Outburst Prediction in Coal Mines

Experimental Accuracy and Stability of Gas Outburst Experimental System

Applications of online integrated system for coal and gas outburst prediction: A case study of Xinjing Mine in Shanxi, China

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