Coal Mine Gas Extraction Volume Predicted: Integrated Application of Numerical Simulation and Machine Learning Optimization Algorithm DOI
Junjie Cai, Xijian Li, Ting Xia

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Multi-information Fusion Gas Concentration Prediction of Working Face Based on Informer DOI

Binglong Liu,

Zhonghui Li,

Zesheng Zang

и другие.

Mining Metallurgy & Exploration, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

1

Stochastic Analysis of Rock Strength Variability in Underground Coal Mining DOI

Mohammad Reza Soleimanfar,

Reza Shirinabadi, Navid Hosseini

и другие.

Geotechnical and Geological Engineering, Год журнала: 2025, Номер 43(2)

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

1

Acoustic emission and electromagnetic radiation precursor signal identification and early warning of coal and gas outburst based on diffusion-semi-supervised classification method DOI

Binglong Liu,

Zhonghui Li,

Zesheng Zang

и другие.

Physics of Fluids, Год журнала: 2024, Номер 36(12)

Опубликована: Дек. 1, 2024

Gas outbursts in coal seams represent a severe and formidable hazard, posing significant threat to the safety of mining operations. The advanced early warning is crucial preventive measure against outbursts. Acoustic emission (AE) electromagnetic radiation (EMR) are monitoring techniques for gas However, during operations, interference signals from AE EMR may arise. Due impact these signals, use statistical indicators time-frequency feature analysis lead false alarms missed detections outburst warnings. advancement deep learning offers new methods intelligent identification risks. This article proposes an method detecting precursor conducting comprehensive index based on EMR. First, reconstruct signal using wavelet packet decomposition then process resulting with diffusion-semi-supervised classification algorithm, employing partially labeled train model risk By analyzing prominent EMR, establish Bayesian networks, thereby achieving findings suggest that question, which employs training dataset comprising 60% manually annotated data, proficient precisely identifying adept at range signals. It provides basis distinguished multi-level warning. research outcomes significantly enhance reliability offering effective seams, power manifestations, abnormal gas.

Язык: Английский

Процитировано

3

Experimental investigation into the Impact of Cyclic High Low Pressure Water Immersion on the Pore structure and Mechanical properties of coal DOI Creative Commons

Pi Zikun,

Rui Li, Yan Wang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 8, 2025

The extraction of coal seams with high gas content and low permeability presents significant challenges, particularly due to the extended period required for meet safety standards inherently efficiency. Hydraulic fracturing technology, widely employed in enhancement soft low-permeability seams, serves as a key intervention. This study focuses on high-rank raw from No. 13 seam at Xinjing Mine, utilizing vacuum pressure saturation system, low-field nuclear magnetic resonance (LF-NMR) testing, uniaxial compression mechanical testing investigate changes porosity connectivity samples under conditions high-pressure continuous immersion high-low cyclic immersion. Additionally, properties various experimental were analyzed. findings reveal that subjected initially decreases slightly before increasing cycle progresses. maximum enhancements observed 1.55% 2.93%, respectively, while total increased by 19.07% 24.79%, respectively. Furthermore, peak stresses found be 1.23–1.65 times, 1.65–3.21 1.56–4.24 times greater than those atmospheric-pressure immersion, high- low-pressure samples, application confining pressures was shown significantly promote development pore structures enhance connectivity, leading more pronounced deterioration body strength. These results provide theoretical foundation practical support hydraulic improve use water injection suppress outflow within mines.

Язык: Английский

Процитировано

0

Machine Learning-based Accidents Analysis and Risk Early Warning of Hazardous Materials Transportation DOI
Huo Chai,

Kewei Dong,

Yiming Liang

и другие.

Journal of Loss Prevention in the Process Industries, Год журнала: 2025, Номер unknown, С. 105594 - 105594

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Methods for Constructing Scenarios of Coal and Gas Outburst Accidents: Implications for the Intelligent Emergency Response of Secondary Mine Accidents DOI
Wei Zhao,

Yujia Wan,

Kai Wang

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 107236 - 107236

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Hybrid-Driven Risk Assessment Methodology for Coal and Gas Outburst: Integration of Complex Network, Disaster Mechanism, and Multi-Level Fusion Modeling DOI
Cheng Lü, Shuang Li, Ningke Xu

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 107226 - 107226

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Mechanism of fault rockburst-induced coal and gas outburst: Mine accident’s reconstruction via a coupled model of compound disasters DOI Creative Commons

Litong Dou,

Lingfei Wu, Yaoshan Bi

и другие.

AIP Advances, Год журнала: 2025, Номер 15(6)

Опубликована: Июнь 1, 2025

The rockburst and coal gas outburst (CAGO) problems aggravate the annual mining depth increase. In high-gas mines, these two hazards usually coexist, their interaction may result in unpredictable sudden disasters. This paper studies a real dynamic accident of mass ejection caused by particular mine located Anhui Province, China. study innovatively combines geomechanics numerical simulation to analyze energy distribution near normal fault, revealing how stress superposition triggers compound Key findings include identification high-energy accumulation region 20 m from fault demonstration that expansion alone is insufficient trigger outbursts without rockburst-induced stress. features disasters are discussed detail. CAGO mechanism induced under mining-induced influence explored using approach. A model proposed assess vicinity. relationship between generation dissipation during derived. Finally, reported, corresponding prevention control measures discussed. concentrated bearing pressure study. impact generated accompanying this process can surpass dissipated outburst. rock masses damaged ejected into roadway at high speed, causing

Язык: Английский

Процитировано

0

Experimental study on the rock breaking effect of different tooth shapes of inserted teeth in a hobbing-cone hybrid PDC bit under complex stress environment DOI
Xin Huang, Jucai Chang, Chuanming Li

и другие.

Geoenergy Science and Engineering, Год журнала: 2024, Номер unknown, С. 213390 - 213390

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

Research on outburst gas pressure dynamics and water-injected coal damage DOI
Chengmin Wei, C.K. Li,

S. Lu

и другие.

Physics of Fluids, Год журнала: 2024, Номер 36(9)

Опубликована: Сен. 1, 2024

Coal and gas outbursts are complex dynamic disasters closely associated with pressure dynamics coal damage. An experimental system was established to investigate the effects of water injection on particles. The experiments utilized helium (He) carbon dioxide (CO2) gases, at initial pressures ranging from 0.25 1.0 MPa periods 0 12 days, measure variation, particle size distribution, equivalent diameter, newly generated surface area. results indicated that outburst follows a power-law decay, He decaying more rapidly than CO2. Elevated adsorptivity intensified damage: each rise in increased new area by 1.02 times for 1.28 CO2, CO2's being 5.03–5.20 larger He. Water mitigated damage caused adsorptive gases; as time increased, initially decreased then least 6 days. For every 3 day increase time, average He-fractured increases 0.69 times. A decay model considering differential tension, adsorption expansion, adsorption-induced strain were developed validated against results. These findings provide theoretical insights into outbursts.

Язык: Английский

Процитировано

0