陆斌
LU Bin

• 1:中煤科工集团西安研究院有限公司

摘要(Abstract)：

煤矿安全生产迫切需要能够对工作面进行实时探测的方法,随采地震成像方法是一个有效解决途径。基于采煤机地震信号特征的分析,研究对比了3种随采地震信号干涉方法的适用性,利用贝叶斯反演提出了工作面的随采地震槽波层析成像方法。结果表明:采用反褶积干涉或互相干干涉,皆能有效压缩震源的子波,得到比互相关干涉更宽频谱的炮集;利用二次干涉方法,有助于获得更高精度的到时与层析成像结果。该方法能够实现煤矿井下回采工作面的随采地震实时成像,及时发现速度随时间变化的危险区域,对工作面地质灾害做出预警。
A real-time detection method of working face is urgently needed for coal mine safety, and seismic imaging while mining is an effective way. Based on the analysis of characteristics of seismic signals from coal mining machine, we compared the applicability of three interference methods, and used Bayesian inversion to put forward a tomographic imaging method of in-seam wave while mining in working face. The results showed that using interferometry by deconvolution or by cross-coherence can effectively compress the wavelet of source, and the frequency spectrum are wider than that from cross-correlation; in order to get high-accuracy arrival time and high-accuracy CT, two step interference method is effective. The method can realize real-time imaging the working face, and find the velocity change area thereby warning geological disasters in time.

关键词(KeyWords)： 采煤机;工作面;地震干涉;噪声成像;槽波
coal shear;working face;seismic interferometry;noise imaging;in-seam wave

Abstract:

Keywords:

基金项目(Foundation): 国家科技重大专项课题(2011ZX05040-002);; 中国博士后科学基金项目(2012M511967)~~

作者(Author): 陆斌
LU Bin

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