刘强. 随采地震噪声衰减研究[J]. 煤田地质与勘探, 2019, 47(3): 25-28,34. DOI: 10.3969/j.issn.1001-1986.2019.03.005
引用本文: 刘强. 随采地震噪声衰减研究[J]. 煤田地质与勘探, 2019, 47(3): 25-28,34. DOI: 10.3969/j.issn.1001-1986.2019.03.005
LIU Qiang. Study on noise attenuation of seismic while mining[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(3): 25-28,34. DOI: 10.3969/j.issn.1001-1986.2019.03.005
Citation: LIU Qiang. Study on noise attenuation of seismic while mining[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(3): 25-28,34. DOI: 10.3969/j.issn.1001-1986.2019.03.005

随采地震噪声衰减研究

Study on noise attenuation of seismic while mining

  • 摘要: 鉴于煤矿井下环境的封闭性及对安全生产的高要求特点,炸药震源在煤矿井下地震勘探施工中存在众多局限性,而以采煤机作为震源可以规避炸药震源的许多固有缺陷,具有可以在不影响回采工作面正常作业的情况下对工作面内部构造及应力开展实时探测的优势。但由于采煤机产生的能量远小于炸药震源,因此采集到信号的质量通常受到环境噪声影响,通过分析大量实际数据发现噪声中能量占比较多的为单频噪声和随机噪声,严重影响探测精度。为提高随采地震数据信噪比,提出了同时衰减单频噪声和随机噪声的方法,首先基于互相关技术在构建常规炮集记录的同时衰减单频噪声,然后通过小波变换衰减随机和残余单频噪声,通过模拟数据和实际数据证实,该方法可以在很大程度上提高信号的信噪比。

     

    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.

     

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