随采地震数据质量定量评价
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摘要
在采煤工作面布设了随采地震监测系统后,为了自动筛选实时不间断传输回地面的巨量地震数据,利用采煤机积极割煤时,各接收道收到的信号相关性强,反之则弱这一特点,提出了一种自动定量化评估随采地震数据质量的方法。对内蒙某矿随采地震数据进行了处理,结果证明该方法能有效识别出单道的相关能量峰,对数据质量定量评价的效果很好。利用此法筛选了贵州某矿随采地震监测数据,将优选数据叠加后,数据的信噪比得到了明显的改善,相关能量轴明显增强。该方法可从海量随采地震数据中快速筛选出高质量的数据,大幅缩减进一步处理的工作量,改善处理效果。
A seismic-while-mining(SWM) monitoring system laid in a working face of an underground coalmine will continuously generate tremendous amount of SWM data. When a coalmine cutting machine cuts coal seam actively, the SWM data will be of high correlation, and when it is not, the SWM data will be of low correlation or even no correlation at all. Based on this characteristic, a method for automatically and quantitatively evaluating the quality of SWM data was proposed. Using this method to process SWM data from a coal mine in Inner Mongolia,the result showed that this method can recognize the correlation peak very effectively, and the data quality evaluation result is very good. To apply this method to screening SWM monitoring data from a coal mine working face in Guizhou Province, the stack result of selected high quality data shows that the S/N ratio is obviously improved, and the correlation event is obviously enhanced. This method can be used to rapidly pick out high quality data from enormous amount of data, and reduce the workload of next step while improving the processing result.
A seismic-while-mining(SWM) monitoring system laid in a working face of an underground coalmine will continuously generate tremendous amount of SWM data. When a coalmine cutting machine cuts coal seam actively, the SWM data will be of high correlation, and when it is not, the SWM data will be of low correlation or even no correlation at all. Based on this characteristic, a method for automatically and quantitatively evaluating the quality of SWM data was proposed. Using this method to process SWM data from a coal mine in Inner Mongolia,the result showed that this method can recognize the correlation peak very effectively, and the data quality evaluation result is very good. To apply this method to screening SWM monitoring data from a coal mine working face in Guizhou Province, the stack result of selected high quality data shows that the S/N ratio is obviously improved, and the correlation event is obviously enhanced. This method can be used to rapidly pick out high quality data from enormous amount of data, and reduce the workload of next step while improving the processing result.
引文
[1]BUCHANAN D J,MASON I M,DAVIS R.The coal cutter as a seismic source in channel wave exploration[J].IEEE Transactions on Geoscience and Remote Sensing,1980,18(4):318-320.
[2]LUO X,KING A,VAN DE WERKEN M.Sensing roof conditions ahead of a longwall mining using the shearer as a seismic source[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(4):17-20.
[3]KING A,LUO X.Methodology for tomographic imaging ahead of mining using the shearer as a seismic source[J].Geophysics,2009,74(2):1-8.
[4]LUO X,KING A,VAN DE WERKEN M.Tomographic imaging of rock conditions ahead of mining using the shearer as a seismic source:A feasibility study[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(11):3671-3678.
[5]TAYLOR N,MERRIAM J,GENDZWILL D,et al.The mining machine as a seismic source for in-seam reflection mapping[J].Seg Technical Program Expanded Abstracts,1949,20(1):1365-1368.
[6]WESTMAN E C,HARAMY K Y,ROCK A D.Seismic tomography for longwall stress analysis[C]//In Proc.2nd North Am.Rock Mech.Symp.1996:397-403.
[7]WESTMAN E C,HEASLEY K A,SWANSON P L,et al.Acorrelation between seismic tomography,seismic events and support pressure[C]//In Proc.38th Rock Mech.Symp.Washington DC,2001:319-326.
[8]陆斌.以掘进机为震源对煤矿断层进行超前探测[C]//中国地球物理2013--第二十四分会场论文集.昆明,2013:1020-1025.
[9]覃思,程建远.煤矿井下随采地震反射波勘探试验研究[J].煤炭科学技术,2015,43(1):116-119.QIN Si,CHENG Jianyuan.Experimental study on seismic while mining for underground coal mine reflection survey[J].Coal Science and Technology,2015,43(1):116-119.
[10]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.
[11]LU Bin,CHENG Jianyuan,HU Jiwu,et al.Seismic features of vibration induced by mining machines and feasibility to be seismic sources[J].Procedia Earth and Planetary Science,2011(3):76-85.
[12]覃思,程建远,胡继武,等.煤矿采空区及巷道的井地联合地震超前勘探[J].煤炭学报,2015,40(3):636?639.QIN Si,CHENG Jianyua,HU Jiwu,et al.Coal-seam-ground seismic for advance detection of goaf and roadway[J].Journal of China Coal Society,2015,40(3):636-639.
[13]覃思.随采地震井-地联合超前探测的试验研究[J].煤田地质与勘探,2016,44(6):148-151.QIN Si.Underground-surface combined seismic while mining advance detection[J].Coal Geology&Exploration,2016,44(6):148-151.
[14]陆斌.基于噪声地震干涉的煤矿工作面随采成像方法[J].煤田地质与勘探,2016,44(6):142-147.LU Bin.A Seismic while mining method of coal working-face based on seismic interferometry[J].Coal Geology&Exploration,2016,44(6):142-147.
[15]覃思.煤矿井下随采地震技术的试验研究[D].北京:煤炭科学研究总院,2016.
[16]霍晶晶,查华胜,苗园园,等.突出煤层巷道随掘超前探测技术研究[J].煤矿开采,2018,23(6):19-23.HUO Jingjing,CHA Huasheng,MIAO Yuanyuan,et al.Advanced exploring technology during driving of roadway with outburst coal seam[J].Coal Mining Technology,2018,23(6):19-23.
[17]WILLIAM M.Geophysical Data Analysis:Discrete Inverse Theory[M].San Diego,New York,Berkeley,Boston,London,Sydney,Tokyo,Toronto:Academic Press,1984.
[2]LUO X,KING A,VAN DE WERKEN M.Sensing roof conditions ahead of a longwall mining using the shearer as a seismic source[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(4):17-20.
[3]KING A,LUO X.Methodology for tomographic imaging ahead of mining using the shearer as a seismic source[J].Geophysics,2009,74(2):1-8.
[4]LUO X,KING A,VAN DE WERKEN M.Tomographic imaging of rock conditions ahead of mining using the shearer as a seismic source:A feasibility study[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(11):3671-3678.
[5]TAYLOR N,MERRIAM J,GENDZWILL D,et al.The mining machine as a seismic source for in-seam reflection mapping[J].Seg Technical Program Expanded Abstracts,1949,20(1):1365-1368.
[6]WESTMAN E C,HARAMY K Y,ROCK A D.Seismic tomography for longwall stress analysis[C]//In Proc.2nd North Am.Rock Mech.Symp.1996:397-403.
[7]WESTMAN E C,HEASLEY K A,SWANSON P L,et al.Acorrelation between seismic tomography,seismic events and support pressure[C]//In Proc.38th Rock Mech.Symp.Washington DC,2001:319-326.
[8]陆斌.以掘进机为震源对煤矿断层进行超前探测[C]//中国地球物理2013--第二十四分会场论文集.昆明,2013:1020-1025.
[9]覃思,程建远.煤矿井下随采地震反射波勘探试验研究[J].煤炭科学技术,2015,43(1):116-119.QIN Si,CHENG Jianyuan.Experimental study on seismic while mining for underground coal mine reflection survey[J].Coal Science and Technology,2015,43(1):116-119.
[10]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.
[11]LU Bin,CHENG Jianyuan,HU Jiwu,et al.Seismic features of vibration induced by mining machines and feasibility to be seismic sources[J].Procedia Earth and Planetary Science,2011(3):76-85.
[12]覃思,程建远,胡继武,等.煤矿采空区及巷道的井地联合地震超前勘探[J].煤炭学报,2015,40(3):636?639.QIN Si,CHENG Jianyua,HU Jiwu,et al.Coal-seam-ground seismic for advance detection of goaf and roadway[J].Journal of China Coal Society,2015,40(3):636-639.
[13]覃思.随采地震井-地联合超前探测的试验研究[J].煤田地质与勘探,2016,44(6):148-151.QIN Si.Underground-surface combined seismic while mining advance detection[J].Coal Geology&Exploration,2016,44(6):148-151.
[14]陆斌.基于噪声地震干涉的煤矿工作面随采成像方法[J].煤田地质与勘探,2016,44(6):142-147.LU Bin.A Seismic while mining method of coal working-face based on seismic interferometry[J].Coal Geology&Exploration,2016,44(6):142-147.
[15]覃思.煤矿井下随采地震技术的试验研究[D].北京:煤炭科学研究总院,2016.
[16]霍晶晶,查华胜,苗园园,等.突出煤层巷道随掘超前探测技术研究[J].煤矿开采,2018,23(6):19-23.HUO Jingjing,CHA Huasheng,MIAO Yuanyuan,et al.Advanced exploring technology during driving of roadway with outburst coal seam[J].Coal Mining Technology,2018,23(6):19-23.
[17]WILLIAM M.Geophysical Data Analysis:Discrete Inverse Theory[M].San Diego,New York,Berkeley,Boston,London,Sydney,Tokyo,Toronto:Academic Press,1984.