Identification of Coal and Gas Outburst-Hazardous Zones by Electric Potential Inversion During Mining Process in Deep Coal Seam

Niu, Yue; Wang, Enyuan; Li, Zhonghui; Gao, Feng; Zhang, Zhizhen; Zhang, Xin

doi:10.1007/s00603-022-02804-z

Cited by 43 publications

(17 citation statements)

References 36 publications

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“…According to the above analysis, the EP signals can be generated in the mining process of coal seam, and the response characteristics of EP signals are closely related to the stress state and damage evolution process of coal and rock mass. The EP signals have the response characteristics of the strength rising to a high value for coal and rock dynamic disaster hazards (i.e., mining stress anomaly or coal cannon phenomenon), which can reflect the loading and damaging state of specimen, and reveal the hazard degree of the coal and rock dynamic disasters [9,10]. Therefore, through monitoring the EP signals inside the coal seam during mining activities, it is possible to identify the abnormal response characteristics, monitor and forecast the coal and rock dynamic hazards, which are prevented and controlled by taking targeted measures.…”

Section: Application Prospect Of the Ep Monitoring Methods In Forecas...mentioning

confidence: 99%

“…On the other hand, the process of EP monitoring is simple, requiring only the construction of ordinary boreholes with a small workload and negligible impact on production, which is similar to "non-destructive monitoring". The EP monitoring system can push the electrodes to the specified borehole depth through the pushing device, which can test the EP signals of the same borehole with different borehole depths in real time and continuously at high frequency, and realize the location monitoring of the EP spatial distribution law [10].…”

Section: Application Prospect Of the Ep Monitoring Methods In Forecas...mentioning

confidence: 99%

“…However, coal mass is a material with significant inhomogeneity and anisotropy, which makes it difficult to accurately monitor the failure and its precursor information of the coal body using traditional mechanical methods [7,8]. Previous studies show that the deformation and rupture process of a coal body can generate significant electric potential (EP) signals, and the EP response is closely related to the damage evolution process and stress state of the coal body [9,10]. Studying the EP response characteristics of a coal body during damage and failure processes can indirectly monitor the damage evolution process of a coal body and identify the precursor information of instability and failure of coal and rock mass [11].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Test and Field Observations of an Electric Potential Monitoring Device for Dynamic Hazards during Mining Activities

Niu

Wang

et al. 2022

Minerals

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The EP (electric potential) signals can be generated during the deformation and fracture process of coal and rock mass. Meanwhile, the EP response is closely related to its stress state and damage evolution, which is expected to be used in monitoring and coal and rock dynamic disaster hazards. Based on this, this paper developed an EP monitoring device for mining to continuously monitor the temporal response characteristics and spatial distribution of coal seam internal EP signals in real time. Further, the experimental tests were carried out, whose results showed that the device has high monitoring sensitivity and little error for the EP signals and can reveal the loading state and damage degree of the coal and rock specimens during the deformation and fracture process. Moreover, the tests and application of EP monitoring were carried out during mining activities in the field. The results showed that the EP signals fluctuate during the coal mining stage and remain relatively stable during the maintenance stage. When the abnormal mining stress or the coal cannon phenomenon occurs, the intensity of EP signals increases rapidly and fluctuates violently, which has precursory response information for the hazards of dynamic disasters. Considering the advantages of sensitive response and nearly non-destructive monitoring, the study results can provide key monitoring equipment and research basis for field testing the EP signals during the mining process, to monitor and forecast the hazards of coal and rock dynamic disasters.

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Section: Application Prospect Of the Ep Monitoring Methods In Forecas...mentioning

confidence: 99%

Section: Application Prospect Of the Ep Monitoring Methods In Forecas...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental Test and Field Observations of an Electric Potential Monitoring Device for Dynamic Hazards during Mining Activities

Niu

Wang

et al. 2022

Minerals

Self Cite

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“…RMSE, SSE, and R2 of fitting curves in each relationship formula show that RMSE and SSE are less than 0.05 and 0.03, respectively, and the R2 is greater than 0.87. Therefore (Li et al, 2021d;Kong et al, 2021;Shen et al, 2021;Kong et al, 2022;Niu et al, 2022), it can be explained that the fitted relationship formula has a high degree of fit with the experimental data and has a basis for use. Therefore, substituting Eqs 39-41 into Eq.…”

Section: Model Correlation Coefficient Fittingmentioning

confidence: 99%

“…The reason why such a problem occurs is believed to be caused by two aspects. The first aspect may be that the model established in this study is based on the physical and mechanical parameters and other relevant parameters of the Antaibao open-pit mine 11 # coal obtained after average calculation and relevant treatment, while the numerical simulation is calculated directly based on the original parameters, which leads to the result of the numerical calculation is larger than that of numerical simulation; another (He et al, 2022;Niu et al, 2022;Yang et al, 2022) aspect may be that the grid density limits the numerical simulation, making it impossible to calculate the inelastic zone with a width of less than 0.35 m (in the numerical simulation, the grid width at the coal pillar is 0.35 m). Moreover Wu et al, 2022), it also leads to the result of numerical calculation being larger than that of numerical simulation.…”

Section: Filling Rate Is 100%mentioning

confidence: 99%

The Calculation of Inelastic Zone Width of Coal Pillar in Highwall Mining With Backfill

Jiang

Lanzhu

et al. 2022

Front. Earth Sci.

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Highwall mining with backfill technology will be one of the main techniques of raising the recovery rate of coal resources under the end-slope all over the world in the future, in which the coal pillar setting is the key to ensure the successful application of this technology, and the calculation of inelastic zone width of a coal pillar has important guiding significance for the coal pillar setting in highwall mining with backfill. However, at present, in order to accurately calculate the inelastic zone width of a coal pillar under the condition of highwall mining with backfill, a calculation model of the inelastic zone width of highwall mining with backfill independent of empirical parameters is established by using a limit equilibrium method, orthogonal experiment method, and non-linear fitting method. In order to verify the correctness and reliability of the model, this study takes the geological conditions of the Antaibao open-pit mine in Pingshuo, Shanxi Province, China, as the engineering background to verify the calculation accuracy of the model. The results show that the calculation model established in this study can accurately calculate the inelastic zone width of the coal pillar under highwall mining with backfill and can meet the engineering needs.

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Study on damage and failure characteristics of loaded gas‐bearing rock–coal–rock combination structures

Du,

Wang,

Yang

et al. 2024

Deep Underground Science and Engineering

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The essence of the outburst–rock burst compound dynamic disaster is the disaster behavior of the “gas‐coal‐surrounding rock” system under the comprehensive action of the stress field and the seepage field. Based on the geological occurrence characteristics of coal and rock in the roof, coal, and floor, this study combined experimental research and theoretical analysis to explore the effects of confining pressure, gas pressure, and axial loading rate on the mechanical behavior of gas‐bearing rock–coal–rock combination structures (“RCR combination”). The results show that both decreasing gas pressure and increasing confining pressure can improve the deformation capacity and bearing capacity of the RCR combination. When the gas pressure decreases from 1.5 to 0.5 MPa and the confining pressure increases from 3 to 9 MPa, the peak stress of the RCR combination increases by 15.83% and 184.02%, respectively. On increasing the axial loading rate, the peak stress of the RCR combination first increases and then decreases, and the elastic modulus continues to decrease. There is a good correspondence between stress and acoustic emission counts (AE), which can be used as a predictive index for judging rock fracture instability. Compared with rock, coal exerts much greater influence on the mechanical strength of the RCR combination. The theoretical analysis shows that the parameters m and F0 mainly affect the peak stress of the RCR combination, and the speed of stress reduction after the peak of the RCR combination is influenced by the parameter m. The coal elastic modulus exerts greater influence on the bearing capacity of the RCR combination than the rock elastic modulus. When the elastic modulus of rocks increases from 10 to 25 GPa and that of coal increases from 2 to 5 GPa, the peak stress of the RCR combination increases by 9.87% and 8.97%, respectively.

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Identification of Coal and Gas Outburst-Hazardous Zones by Electric Potential Inversion During Mining Process in Deep Coal Seam

Cited by 43 publications

References 36 publications

Experimental Test and Field Observations of an Electric Potential Monitoring Device for Dynamic Hazards during Mining Activities

Experimental Test and Field Observations of an Electric Potential Monitoring Device for Dynamic Hazards during Mining Activities

The Calculation of Inelastic Zone Width of Coal Pillar in Highwall Mining With Backfill

Study on damage and failure characteristics of loaded gas‐bearing rock–coal–rock combination structures

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