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Coal Geology & Exploration

Abstract

In view of the closure of the environments and the high requirements of safe production of underground coal mine, the explosive source has many limitations in the operation of seismic exploration of coal mine, and the coal shearer as the source can avoid many inherent shortcomings of the source of explosives, has the advantage of real-time detection of the internal structure and the stress of the working face without affecting the normal operation of the mining face. However, as the energy generated by the shearer is much smaller than that of the explosive source, the quality of the collected signal is usually affected by the environmental noise. Through the analysis of a large number of field data, it is found that most energy in the noise are single-frequency noise and random noise, which seriously affects the detection accuracy. In order to improve the signal-to-noise ratio of seismic data while mining, a method of simultaneous attenuation of single frequency noise and random noise was proposed. Firstly, based on the cross-correlation technology, the single frequency noise was attenuated while the conventional shot gathers records were constructed, and then the random and residual single frequency noise were attenuated by wavelet transform. Simulation data and field data verified that the proposed method can enhance to a great extent SNR of signals.

Keywords

seismic while mining, noise attenuation, cross-correlation, wavelet transform

DOI

10.3969/j.issn.1001-1986.2019.03.005

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 & Remote Sensing,1980,18(4):318-320.

[2] LUO X,KING A,VAN D W 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.

[3] KING A,LUO X. Methodology for tomographic imaging ahead of mining using the shearer as a seismic source[J]. Geophysics,2009,74(2):M1-M8.

[4] 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.

[5] HAN L,SACCHI M D,HAN L G. Spectral decomposition and de-noising via time-frequency and space-wavenumber reassignment[J]. Geophysical Prospecting,2014,62(2):244-257.

[6] 尚帅. 地震信号高分辨率谱分解方法及应用[D]. 长春:吉林大学,2014.

[7] MOUSAVI S M,LANGSTON C A,HORTON S P. Automatic microseismic denoising and onset detection using the synchro squeezed continuous wavelet transform[J]. Geophysics,2016,81(4):341-355.

[8] MOUSAVI S M,LANGSTON C A. Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchro squeezed domain and its application on earthquake data[J]. Geophysics,2017,82(4):1-58.

[9] MORLET J,ARENS G,FOURGEAU E,et al. Wave propagation and sampling theory:Part I,Complex signal and scattering in multilayered media[J]. Geophysics,2013,47(2):203-221.

[10] 韩利. 高分辨率全谱分解方法研究[D]. 长春:吉林大学,2013.

[11] 蔡剑华,李晋. 基于频率域小波去噪的大地电磁信号工频干扰处理[J]. 地质与勘探,2015,51(2):353-359. CAI Jianhua,LI Jin. Suppression of power line interference on MT signals based on the frequency domain wavelet method[J]. Geology and Exploration,2015,51(2):353-359.

[12] 刘洋. 强工频干扰波的提取与消除方法[J]. 石油物探,2003,42(2):154-159. LIU Yang. Extraction and removal of strong power interference[J]. Geophysical Prospecting For Petroleum,2003,42(2):154-159.

[13] 吴小培,詹长安,周荷琴,等. 采用独立分量分析方法消除信号中的工频干扰[J]. 中国科学技术大学学报,2000,30(6):671-676. WU Xiaopei,ZHAN Chang'an,ZHOU Heqin,et al. Removal of power interference from digital signals by using independent component analysis[J]. Journal of China University of Science and Technology,2000,30(6):671-676.

[14] WAPENAAR K,FOKKEMA J. Green's function representations for seismic interferometry[J]. Geophysics,2006,71(4):33-46.

[15] 黄伟传,葛洪魁,吴何珍,等. 地震干涉处理方法在随钻地震资料处理中的应用[J]. 石油地球物理勘探,2012,47(1):32-36. HUANG Weichuan,GE Hongkui,WU Hezhen,et al. Seismic interferometry in seismic whiling drilling data processing[J]. Oil Geophysical Prospecting,2012,47(1):32-36.

[16] DONOHO D L,JOHNSTONE J M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika,1994,81(3):425-455.

[17] DONOHO D L. Nonlinear solution of linear inverse problems by Wavelet-Vaguelette decomposition[J]. Applied and Computational Harmonic Analysis,1995,2(2):101-126.

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