Quantitative quality evaluation of seismic-while-mining data

Authors

QIN Si, Xi'an Research Institute Co. Ltd., China Coal Technology and Engineering Group Corp., Xi'an 710077, China
CUI Weixiong, Xi'an Research Institute Co. Ltd., China Coal Technology and Engineering Group Corp., Xi'an 710077, China
WANG Wei, The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China

Abstract

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.

Keywords

coalmine cutting machine, seismic-while-mining, data quality evaluation

DOI

10.3969/j.issn.1001-1986.2019.03.004

Recommended Citation

QIN Si, CUI Weixiong, WANG Wei, et al. (2019) "Quantitative quality evaluation of seismic-while-mining data," Coal Geology & Exploration: Vol. 47: Iss. 3, Article 5.
DOI: 10.3969/j.issn.1001-1986.2019.03.004
Available at: https://cge.researchcommons.org/journal/vol47/iss3/5

Reference

[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 to-mography 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. A correlation 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.