基于分段波形互相关的井下随采地震数据成像

随采地震勘探是以采煤机为震源的被动地震探测技术,由于采煤机是不断移动的、且其激发的是一种连续信号,因此常规数据处理方法无法直接应用。提出分段波形互相关方法,通过将采煤机产生的数据分段,采用互相关方法提取有效信号的走时,然后利用速度层析成像方法对工作面内部和切眼前方进行速度成像。利用波动方程对含异常体的工作面模型进行随采地震数值模拟,反演得到的成像结果和速度模型基本吻合;实际随采地震数据测试中,利用该方法对采煤机震源数据反演得到采动过程中地震波传播速度的成像结果,实现了对工作面内应力异常变化区域的实时动态监测。研究结果表明:基于分段互相关成像方法能解决采煤机震源信号处理问题,满足随采地震勘探技术实时性和稳定性的要求。

Waveform cross correlation-based imaging of underground seismic data while mining

Seismics while mining is a passive seismic detection technique using a shearer as seismic source. Because the shearer moves unceasingly and excites the continuous signals, the conventional data processing method cannot be applied directly. In the paper a cross-correlation method of segmented waveform was put forward, the effective signal travel time was extracted through the segmentation of the data generated the shear, and then the velocity imaging method was used to image the interior of the working face and the front of the cutting hole. The wave equation was used to carry out the seismics while mining numerical simulation of the working face containing a abnormal body. The imaging results from the inversion were basically consistent with the velocity model. In the actual seismics while mining data test, this method is used to get the imaging results of the seismic wave propagation velocity obtained from the inversion of the data of the shear source during mining, so as to realize the real-time dynamic monitoring of an area of the abnormal variation in the working face. The results indicate that the cross-correlation imaging method based on the segmentation can solve the problems in the data processing of the signals of the shear source, meet the requirements of real-time and stability of seismics while mining technology.