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Microstructural evolution and hydraulic response of shale self-propped fracture using X-ray computed tomography and digital volume correlation

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International Journal of Mining Science and technology 2025年第3期35卷 345-362页

作者： Ting Huang Cheng Zhai Ting Liu Yong Sun Hexiang Xu Yu Wang Jing Huang State Key Laboratory of Coal Mine Disaster Prevention and Control Ministry of EducationChina University of Mining and TechnologyXuzhou 221116China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Low-Carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou 221116China

Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term *** study employs X-ray computed tomography(CT)and digital volume correlation(DVC)to investigate the microstructural evolution and hydromechanical responses of shale self-propped fracture under varying confining pressures,highlighting the critical role of shale particles in maintaining fracture *** indicate that the fracture aperture in the self-propped sample is significantly larger than in the unpropped sample throughout the loading process,with shale particles tending to crush rather than embedded into the matrix,thus maintaining flow *** confining pressure increases,contact areas between fracture surfaces and particles expand,enhancing the system's stability and compressive *** analyses show flow paths becoming increasingly concentrated and branched under high *** resulted in a significant reduction in connectivity,restricting fracture permeability and amplifying the nonlinear gas flow *** study introduces a permeability-strain recovery zone and a novel sensitivity parameter m,delineating stress sensitivity boundaries for permeability and normal strain,with m-value increasing with stress,revealing four characteristic *** findings offer theoretical support for optimizing fracturing techniques to enhance resource extraction efficiency.

关键词： Digital volume correlation X-ray CT scanning Fracture aperture Deformation characteristics Stress sensitivity Permeability

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Investigation of dynamic failure behavior and acoustic emission frequency characteristics of sandstone under drop hammer impact

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Bulletin of Engineering Geology and the Environment 2025年第6期84卷 1-14页

作者： Tian, He Li, Zhonghui Aihemaiti, Aikeremujiang Yin, Shan Gao, Fengtao Key Laboratory of Gas and Fire Control for Coal Mines China University of Mining and Technology Xuzhou 221116 China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou 221116 China National Engineering Research Center for Coal Gas Control China University of Mining and Technology Jiangsu Xuzhou 221116 China School of Safety Engineering China University of Mining and Technology Xuzhou 221116 China

To investigate the dynamic failure behavior and acoustic emission (AE) response patterns of sandstone under impact loading, a drop hammer impact (DHI) AE experimental system was established. The study examined the mechanical properties, energy changes, failure characteristics, and AE waveform signal responses of sandstone at different impact speeds during the failure process. The results indicate that the load-time curve of sandstone failure under DHI can be divided into four stages: compaction stage, linear elastic stage, plastic deformation stage, and post-peak development stage. Under low-speed impacts, the load-time curve exhibits a “step” characteristic. As the impact speed increases, the failure mode of sandstone transitions from rebound failure to puncture failure, and the impact energy absorption also shows an upward trend. The main frequency values of the AEs during sandstone failure are all located in the low-frequency range (0–30 kHz), which is an important characteristic frequency range for sandstone failure under DHI. These research findings contribute to a better understanding of sandstone failure behavior and AE response patterns under DHI, playing an important role in ensuring safe production in coal mines. © The Author(s) 2025.

关键词： Acoustic emission Drop hammer impact dynamic failure behavior Sandstone

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Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology:Case insights and methodological advances

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International Journal of Mining Science and technology 2025年第4期35卷 619-638页

作者： Yanan Qian Ting Liu Cheng Zhai Hongda Wen Yuebing Zhang Menghao Zheng Hexiang Xu Dongyong Xing Xinke Gan State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Yunlong Lake Laboratory of Deep Underground Science and Engineering Xuzhou 221003China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Emergency Management Chengdu UniversityChengdu 610106China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Xinjiang Yaxin Coalbed Methane 156 Exploration Co. Ltd.Urumqi 841100China

Through a case analysis,this study examines the spatiotemporal evolution of microseismic(MS)events,energy characteristics,volumetric features,and fracture network development in surface well hydraulic fracturing.A total of 349 MS events were analyzed across different fracturing sections,revealing significant heterogeneity in fracture *** scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections,indicating notable *** reservoir volume(SRV)analysis demonstrated well-developed fracture networks in certain sections,with a total SRV exceeding 1540000 m^(3).The hydraulic fracture network analysis revealed that during the midfracturing stage,the density and spatial extent of MS events significantly increased,indicating rapid fracture propagation and the formation of complex *** the later stage,the number of secondary fractures near fracture edges decreased,and the fracture network *** comparing the branching index,fracture length,width,height,and SRV values across different fracturing sections,Sections No.1 and No.8 showed the best performance,with high MS event densities,extensive fracture networks,and significant energy ***,Sections No.4 and No.5 exhibited sparse MS activity and poor fracture connectivity,indicating suboptimal stimulation effectiveness.

关键词： Hydraulic fracturing Microseismic Source location Energy scanning Fracture network

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Elastic wave propagation and attenuation characteristics of roof fracture source

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Geomechanics and Engineering 2025年第4期40卷 295-305页

作者： Zhang, Peng-Fei Zhao, Tong-Bin Gong, Xu-Fei Tan, Yan Guo, Chuan-Qing College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China Shandong Key Laboratory of Intelligent Prevention and Control of Dynamic Disaster in Deep Mines Shandong University of Science and Technology Qingdao266590 China Energy Group Co. Ltd. Jining No.2 Coal Mine Jining272012 China

Abstract. The propagation attenuation law of elastic waves generated by rock mass fractures in strata is of great significance in explaining engineering problems, such as rock bursts. In this study, a wave velocity model was established based on the actual stratum conditions of the Jining No.2 coal mine in China. The propagation process of different types of elastic waves is simulated using the elastic wave equation and finite difference method. The attenuation coefficients of various elastic wave parameters propagating at different positions were calculated. Based on the calculated results, an attenuation equation for the elastic wave energy is proposed. The results show that the propagation of S-waves and P-waves in strata is similar to each other, and wave pattern transformation occurs at the interface of the strata. The magmatic rocks played a role in channeling and reflecting elastic wave propagation, leading to the occurrence of low-energy aftershocks in the coal seams. The peak displacement, peak stress, and energy density of the elastic wave that propagated to the coal seam after the siltstone layer fracture of the roof of the 3down coal seam decreased to 28%, 25%, and 9% of the source, respectively. The attenuation of elastic wave energy is highly correlated with the propagation distance, and the attenuation equation can be represented as an exponential function. These results are of great significance for revealing the propagation attenuation process of elastic waves in the stratum. © 2025 Techno-Press, Ltd.

关键词： Exponential functions

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Experimental study on mechanical properties and macro–mesoscale damage evolution of coal following true triaxial dynamic impact

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International Journal of rock Mechanics and Mining Sciences 2025年 191卷

作者： Zhang, Xiayan Wang, Enyuan Shen, Rongxi Gu, Zhoujie Key Laboratory of Gas and Fire Control for Coal Mines China University of Mining and Technology Xuzhou221116 China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and Technology Xuzhou221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou221116 China

During deep coal mining, the coal mass inevitably suffers damage under three-dimensional stress due to dynamic loads. This damage renders the coal highly susceptible to instability and failure under static loads, thereby posing a threat to engineering safety. Therefore, it is crucial to investigate coal affected by true triaxial dynamic damage. This study aims to elucidate the mechanical properties and damage mechanisms of coal after true triaxial dynamic impact. True triaxial dynamic impact tests were conducted on coal specimens under varying deviatoric stresses and impact velocities. Nuclear magnetic resonance (NMR) tests were performed before and after impact to examine changes in pore structure, followed by uniaxial quasi-static loading tests on the impacted coal samples. The results indicate that as deviatoric stress increases, the coal's dynamic elastic modulus, dynamic peak stress, elastic modulus, and uniaxial compressive strength decrease, while dynamic peak strain, strain rate, static peak strain, and crack compaction strain increase. Higher impact velocities elevate dynamic mechanical parameters but simultaneously deteriorate static mechanical characteristics. Additionally, with increasing deviatoric stress and impact velocity, the number of internal pores rises, the proportion of micropores declines, the proportion of meso-macropores rises, the multifractal dimension of the pore structure diminishes, pore connectivity improves, permeability increases, and damage severity intensifies. This study elucidates the fundamental mechanism by which internal pore structure damage in coal leads to the degradation of macroscopic mechanical properties and proposes a quantitative characterization of this deterioration process based on porosity evolution. By incorporating this damage mechanism, a novel statistical damage constitutive model has been developed that accurately describes the mechanical behavior of coal under true triaxial dynamic impact and reloading condi

关键词： Strain rate

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Acoustic monitoring and structural damage evaluation of tensile fracture in various materials using optical fiber sensing

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Physics of Fluids 2025年第2期37卷

作者： Zhou, Xin Liu, Xiaofei Wang, Xiaoran Zhang, Siqing Zhang, Huajie Gu, Zhoujie Zhang, Yuqi Wei, Xinyu Key Laboratory of Gas and Fire Control for Coal Mines China University of Mining and Technology Ministry of Education Xuzhou221116 China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and Technology Xuzhou221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou221116 China School of Safety Engineering China University of Mining and Technology Xuzhou221116 China

Acoustic emission (AE) technology is a crucial approach for ensuring the safe operation and maintenance of underground spaces. Traditional mechanical and piezoelectric AE sensors often fail to meet the monitoring requirements of complex underground environments. In this paper, a novel AE monitoring system based on a Michelson interferometer is designed and applied to monitor the tensile fracture processes of common materials (coal, concrete, quartzite, and granite) in various underground engineering projects. Signal noise reduction and feature parameter extraction of the waveform data collected by the optical fiber AE sensor are performed. The time series, frequency domain characteristics, and crack fracture modes of the optical fiber AE signals were analyzed, and the precursor characteristics of tensile fractures were extracted. The results indicate that the optical fiber AE system possesses high sensitivity, a wide frequency band response, and a large dynamic range, enabling it to effectively identify AE waveform characteristics and primary frequency differences generated in various rock fracture experiments. The AE count and energy evolution patterns are in good agreement with the material stress curves, effectively quantifying the material damage evolution processes. The proportional distribution of tensile and shear cracks in different materials was successfully classified using fiber AE waveforms. Based on the changing trends of the b-value, variance, and autocorrelation coefficient, a failure early warning mechanism was constructed, categorizing failure early warnings into three time levels: trend early warning, initial early warning, and critical early warning. This study provides a new and effective monitoring method for the safety development of deep engineering. © 2025 Author(s).

关键词： Michelson interferometers

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An evaluation model of distribution uniformity of sector directional boreholes: Application in coalbed gas extraction

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Measurement: Journal of the International Measurement Confederation 2025年 253卷

作者： LU, Cunyang Wang, Haifeng Tuo, Pingdingqi Zhang, Xinghua Hu, Qian School of Safety Engineering China University of Mining and Technology Xuzhou221116 China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and Technology Xuzhou221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou221116 China National Engineering Research Center for Coal Gas Control China University of Mining and Technology Xuzhou221116 China School of Environmental and Safety Engineering North University of China Taiyuan030051 China

The layout and construction characteristics of sector directional boreholes may cause uneven distribution of boreholes, affecting the coalbed gas extraction effect. To quantitatively evaluate the distribution uniformity of sector directional boreholes, a novel evaluation model was developed to quantitatively evaluate the uniformity of directional boreholes. It was achieved through three key processes: (1) the digitization of borehole trajectory was realized effectively by using characteristic point sampling algorithm, (2) the concept of borehole distribution uniformity coefficient (BDUC) was proposed, (3) the evaluation model of borehole distribution uniformity was established based on the BDUC and the statistical data of borehole characteristic point spacing by using response surface methodology (RSM). The results show that: this model can effectively quantify the distribution uniformity of sector directional boreholes. In the same gas extraction time, the model-calculated value demonstrates a significant decreasing trend with enhanced uniformity of borehole distribution. Field gas extraction data from 12 borehole fields revealed significant correlations between model-calculated values and extraction performance. The model response values are 0.4079 and 0.4237 for the borehole fields with better uniformity of drilling distribution, and 0.5593, 0.5040, and 0.5061 for the borehole fields with poorer uniformity. There is a significant negative correlation between the actual gas extraction rate of each borehole field and the model-calculated value of the evaluation model. This work advances precision gas extraction in complex coal seams through data-driven uniformity evaluation of sector directional borehole distribution. © 2025 Elsevier Ltd

关键词： coal deposits

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Research on AI-driven complex network and management system of coal and gas outburst accident

Journal of Safety and Sustainability

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Journal of Safety and Sustainability 2025年第1期2卷 32-44页

作者： Cheng Lu Shuang Li Ningke Xu Yi Zhang Yanting Qin School of Economics and Management China University of Mining and Technology Xuzhou 221116 China Safety Science and Emergency Management Research Institute China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou 221116 China

coal and gas outburst accidents are the most dangerous and complex accidents in coal mines. There is an urgent need for a systematic, objective, intelligent, and full process coal and gas outburst accident control system. The study constructs artificial intelligence (AI) -driven complex network and control system for coal and gas outburst accident: a coal and gas outburst accident control method based on text mining, complex network, and knowledge graph is proposed to achieve systematic extraction of causal factors, accurate identification of control strategy, intelligent formulation of control measures for coal and gas outburst accidents. The research results indicate that: (1) 70 causal factors are extracted from 72 investigation reports on coal and gas outburst accidents, including 21 human factors, 16 mechanical equipment factors, 14 environmental factors, and 19 management factors. (2) The coal and gas outburst accident complex network has a more complex structure, stronger robustness, and more prominent multi factor coupling effect, requiring more intelligent control methods. (3) The attack strategy generated by the innovatively proposed comprehensive value (CV) topology indicator is the optimal control strategy for coal and gas outburst accidents, maintaining higher attack efficiency in multiple stages and better controlling accident complex network. It also performs well in controlling single accident. (4) The coal and gas outburst accident control technology which is based on knowledge graph can quickly match the control measures and relationships, perform intelligent search of entities, reduce the time and energy consumption of managers for knowledge analysis, and provide intelligent decision support for managers. This study validates the scientific and practical feasibility of AI in the control of coal and gas outburst accidents. Future research will focus on further expanding data sources, clarifying the mechanism of coal and gas outburst accidents, and

关键词： coal and gas outburst accidents Complex network Knowledge graph AI

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Mechanical properties of cement-based rocks with arc-shaped cracks under uniaxial compression

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Construction and Building Materials 2025年 484卷

作者： Wang, Pu Zhang, Mei Chen, Huidan Zhang, Chuanyang Ma, Fuwu Zheng, Pengqiang College of Resources Shandong University of Science and Technology Shandong Tai'an271000 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Anhui Huainan232001 China Shandong Key Laboratory of Intelligent Prevention and Control of Dynamic Disaster in Deep Mines Shandong University of Science and Technology Qingdao266590 China Shandong Province Research Institute of Coalfield Geology Planning and Exploration Shandong jinan250000 China

This research uses cement-based rock as the subject, preparing cement-based rock-like samples with arc-shaped cracks with a 45° dip angle and different scales (similar in morphology but different in size). Combining uniaxial compression tests with FLAC3D numerical simulation, this study systematically investigates the effects of arc-shaped crack scale on the mechanical properties, energy evolution, and failure patterns of rock masses. The results show that: ① The bearing capacity of cement-based rock-like masses with arc-shaped cracks of different scales varies significantly. The peak strength is highest at λ-20 mm (crack chord length 28.28 mm, arch height 5.86 mm, corresponding to arc-shaped crack radius 20 mm) at 24.57 MPa, while λ-40 mm shows the minimum peak strength at 8.52 MPa. This indicates that larger arc-shaped crack scales result in lower overall bearing capacity of cement-based rock-like materials, making them more prone to instability failure. ② Energy evolution patterns differ across specimens with different crack scales, with larger λ values exhibiting more pronounced stress concentration and acoustic emission activity, as well as earlier yielding and instability. Among these, cement-based rock-like specimens with λ-50 mm have the shortest time to instability failure, while samples with λ-10 mm maintain stability for the longest duration. ③ Failure morphologies of cement-based rock-like materials with different scale arc-shaped cracks show considerable differences. Crack initiation occurs first at both tips of the arc-shaped crack, with secondary crack propagation and coalescence being the primary causes of instability. However, as λ increases, secondary cracks appear earlier, and the development, propagation, and coalescence speed of cracks progressively intensifies, resulting in increasingly severe damage. ④ Speckle characteristics during failure show significant similarities and differences across specimens with different crack scales. Strain conce

关键词： Compression testing

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Hybrid-driven risk assessment methodology for coal and gas outburst: Integration of complex network, disaster mechanism, and multi-level fusion modeling

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Process Safety and Environmental Protection 2025年 199卷

作者： Lu, Cheng Li, Shuang Xu, Ningke Zhang, Yi Qin, Yanting School of Economics and Management China University of Mining and Technology Xuzhou221116 China Safety Science and Emergency Management Research Institute China University of Mining and Technology Xuzhou221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou221116 China

With the normalization of deep mining, coal and gas outburst risks are increasing. However, traditional risk indicator systems suffer from subjective construction, lack of dynamic adjustment, and omission of management factors, while widely used risk assessment models face challenges such as single-dimensional modeling, inability to perform real-time assessment, and information loss. To address these issues, this study developed the hybrid-driven coal and gas outburst risk assessment system. First, based on 72 coal and gas outburst accident investigation reports in China from 2008 to 2023, text mining technology was employed to extract 54 risk factors and their co-occurrence relationships, constructing the coal and gas outburst complex network. Node removal robustness simulation was used to identify the most critical topological indicator (degree), which, combined with the "comprehensive effect hypothesis" mechanistic model, formed the three-level risk assessment indicator system. Second, the scoring rules was applied to convert qualitative information into quantitative data, and the degree weighting method and linear fusion model was used to quantify coal and gas outburst management risk. The interval mapping function integrated with threshold rules was developed to process multi-source heterogeneous data, while the triangular fuzzy AHP coupled with the linear fusion model enabled real-time assessment for coal and gas outburst risk. The expectation, entropy, and hyper-entropy of the cloud model were introduced to determine the overall risk level, stability, and distribution stability, respectively, with forward cloud generator facilitating risk visualization to determine the coal and gas outburst overall risk. Third, industrial testing at F coal Mine demonstrated that the accuracy and functionality of all three assessment models were validated, confirming that the hybrid-driven risk assessment system achieved its predefined objectives. Comparative analysis further

关键词： Risk assessment

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