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Coal Geology & Exploration

Abstract

The conventional explosive seismic sources are very tightly controlled in high-gas mine, and a novel non-explosive channel wave method is urgently needed as an alternative. Therefore through the theoretical analysis and numerical simulation experiments, we demostrated that the coal seam satisfied the geophysical conditions to develop the nature source in-seam wave. The time-domain numerical simulation experiment of the passive source channel wave was successfully realized by constructing the nature source in-seam wave model with three stochastic terms, including the stochastic spatial position, stochastic initial excitation time and stochastic amplitude of seismic source. We performed frequency dispersion spectrum calculation on the numerical simulation data of nature source in-seam wave using the phase shift method, and the result shows the obvious frequency dispersion characteristics. Moreover, the numerical simulation results demonstrate the existence of nature source in-seam wave in theoretical models, and the development of both fundamental and higher order morphology. Specifically, a field experiment was conducted in the working face of a coal mine in Huainan, Anhui, to successfully collect the data of three components of the nature source in-seam wave, and frequency dispersion spectrum of the measured data was calculated. The calculation results indicate that the three components have the characteristics of frequency dispersion amony which the energy ridge of the frequency dispersion curve of X component is relatively clear. In general, the numerical simulation results show that the geophysical foundation and mechanism of development of nature source in-seam wave is correct. Moreover, the field experimental results confirm the natural existence of nature source in-seam wave in the coal seam, and this method has the feasibility and potential for mine geological exploration.

Keywords

microseism, nature source in-seam wave, constructive interference, frequency dispersion

DOI

10.12363/issn.1001-1986.22.08.0663

Reference

[1] ZHU Mengbo,CHENG Jianyuan,CUI Weixiong,et al. Comprehensive prediction of coal seam thickness by using in–seam seismic surveys and Bayesian Kriging[J]. Acta Geophysica,2019,67(3):825−836.

[2] 王季. 反射槽波探测采空巷道的实验与方法[J]. 煤炭学报,2015,40(8):1879−1885.

WANG Ji. Experiment and method of void roadway detection using reflected in−seam wave[J]. Journal of China Coal Society,2015,40(8):1879−1885.

[3] 姬广忠,程建远,胡继武,等. 槽波衰减系数成像方法及其应用[J]. 煤炭学报,2014,39(增刊2):471−475.

JI Guangzhong,CHENG Jianyuan,HU Jiwu,et al. In–seam wave imaging using attenuation coefficient:Method and application[J]. Journal of China Coal Society,2014,39(Sup.2):471−475.

[4] 王伟,高星,李松营,等. 槽波层析成像方法在煤田勘探中的应用:以河南义马矿区为例[J]. 地球物理学报,2012,55(3):1054−1062.

WANG Wei,GAO Xing,LI Songying,et al. Channel wave tomography method and its application in coal mine exploration:An example from Henan Yima Mining Area[J]. Chinese Journal of Geophysics (in Chinese),2012,55(3):1054−1062.

[5] 王季,覃思,陆斌,等. 基于掘进机随掘震源的巷道侧前方断层成像技术[J]. 煤炭科学技术,2021,49(2):232−237.

WANG Ji,QIN Si,LU Bin,et al. Tomographic imaging technology of front side of roadway based on excavation source of roadheader[J]. Coal Science and Technology,2021,49(2):232−237.

[6] 陆斌,程建远,胡继武,等. 采煤机震源有效信号提取及初步应用[J]. 煤炭学报,2013,38(12):2202−2207.

LU Bin,CHENG Jianyuan,HU Jiwu,et al. Shearer source signal extraction and preliminary application[J]. Journal of China Coal Society,2013,38(12):2202−2207.

[7] 李圣林. 基于随机震源的巷道地震超前探测信号识别研究[D]. 淮南:安徽理工大学,2019.

LI Shenglin. Research on recognition of seismic advance detection signal in roadway based on random source[D]. Huainan:Anhui University of Science and Technology,2019.

[8] 胡泽安,张平松,许光泉. 采煤工作面拟2.5维地震速度层析成像方法[J]. 煤炭学报,2018,43(9):2579−2586.

HU Ze’an,ZHANG Pingsong,XU Guangquan. Pseudo 2.5 dimensional seismic velocity tomography in coal mining face[J]. Journal of China Coal Society,2018,43(9):2579−2586.

[9] 王勃,刘盛东,孙华超,等. CO2震源的槽波勘探现场实验及前景讨论[J]. 煤炭学报,2022,47(2):906−914.

WANG Bo,LIU Shengdong,SUN Huachao,et al. Field experiment and prospect discussion of in–seam seismic survey for CO2 source[J]. Journal of China Coal Society,2022,47(2):906−914.

[10] 余大新,吴庆举,王鹏,等. 蒙古中南部地区基于天然地震的勒夫波相速度层析成像[J]. 地震学报,2016,38(1):41−52.

YU Daxin,WU Qingju,WANG Peng,et al. Love wave phase velocity tomography in the south–central Mongolia from earthquakes[J]. Acta Seismologica Sinica,2016,38(1):41−52.

[11] 刘国峰,刘语,孟小红,等. 被动源面波和体波成像在内蒙古浅覆盖区勘探应用[J]. 地球物理学报,2021,64(3):937−948.

LIU Guofeng,LIU Yu,MENG Xiaohong,et al. Surface wave and body wave imaging of passive seismic exploration in shallow coverage area application of Inner Mongolia[J]. Chinese Journal of Geophysics (in Chinese),2021,64(3):937−948.

[12] 王爽,孙新蕾,秦加岭,等. 利用密集地震台网高频环境噪声研究广东新丰江库区浅层地下结构[J]. 地球物理学报,2018,61(2):593−603.

WANG Shuang,SUN Xinlei,QIN Jialing,et al. Fine fault structure of Xinfengjiang water reservoir area from high–frequency ambient noise tomography[J]. Chinese Journal of Geophysics (in Chinese),2018,61(2):593−603.

[13] 李雪燕,陈晓非,杨振涛,等. 城市微动高阶面波在浅层勘探中的应用:以苏州河地区为例[J]. 地球物理学报,2020,63(1):247−255.

LI Xueyan,CHEN Xiaofei,YANG Zhentao,et al. Application of high–order surface waves in shallow exploration:An example of the Suzhou River,Shanghai[J]. Chinese Journal of Geophysics (in Chinese),2020,63(1):247−255.

[14] RICKETT J,CLAERBOUT J. Acoustic daylight imaging via spectral factorization:Helioseismology and reservoir monitoring[J]. The Leading Edge,2000,18(8):957−960.

[15] 田宝卿,丁志峰. 微动探测方法研究进展与展望[J]. 地球物理学进展,2021,36(3):1306−1316.

TIAN Baoqing,DING Zhifeng. Review and prospect prediction for microtremor survey method[J]. Progress in Geophysics (in Chinese),2021,36(3):1306−1316.

[16] 姬广忠. 反射槽波绕射偏移成像及应用[J]. 煤田地质与勘探,2017,45(1):121−124.

JI Guangzhong. Diffraction migration imaging of reflected in–seam waves and its application[J]. Coal Geology & Exploration,2017,45(1):121−124.

[17] 袁亮. 深部采动响应与灾害防控研究进展[J]. 煤炭学报,2021,46(3):716−725.

YUAN Liang. Research progress of mining response and disaster prevention and control in deep coal mines[J]. Journal of China Coal Society,2021,46(3):716−725.

[18] 窦林名,姜耀东,曹安业,等. 煤矿冲击矿压动静载的“应力场–震动波场”监测预警技术[J]. 岩石力学与工程学报,2017,36(4):803−811.

DOU Linming,JIANG Yaodong,CAO Anye,et al. Monitoring and pre–warning of rockburst hazard with technology of stress field and wave field in underground coalmines[J]. Chinese Journal of Rock Mechanics and Engineering,2017,36(4):803−811.

[19] HU Ze’an,ZHANG Pingsong,JI Guangzhong,et al. Study on transmitted channel wave–based,horizontal multilayer 3–D velocity model inversion and quantitative coalbed thickness detection method[J]. Acta Geophysica,2020,68(6):1703−1713.

[20] HU Ze’an,ZHANG Pingsong,XU Guangquan. Dispersion features of transmitted channel waves and inversion of coal seam thickness[J]. Acta Geophysica,2018,66(5):1001−1009.

[21] 刘天放,潘冬明,李德春,等. 槽波地震勘探[M]. 徐州:中国矿业大学出版社,1994.

[22] PARK C B,MILLER R D,XIA Jianghai. Imaging dispersion curves of surface waves on multi–channel record:SEG Technical Program Expanded Abstracts 1998[C]. Society of Exploration Geophysicists,1998:1377–1380.

[23] XI Chaoqiang,XIA Jianghai,DAI Tianyu,et al. Modified frequency−Bessel transform method for dispersion imaging of Rayleigh waves from ambient seismic noise[J]. Geophysical Journal International,2021,225(2):1271−1280.

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