随采地震模拟数据脉冲化处理研究
Study on Pulse Processing of Seismic Simulation Data with Mining

基于随采地震超前探技术实际模拟和理论波场分析较少，随采震源有效信号的提取方法还需要做全面的研究。本文利用交错网格有限差分方法进行二维数值模拟，并利用互相关和反褶积两种干涉方法进行随采连续数据的脉冲化处理。研究结果表明：在随采地震的二维数值模拟中，互相关干涉与反褶积干涉都能将连续随采数据进行脉冲化处理，平行方向x与垂直方向y分量的地震波发育存在差异，x分量地震波整体连续性较好，但产生的反射波不明显，绕射波波组的能量不强。y分量震源一侧能量较弱，但反射波明显，绕射波波组能量较强。经过脉冲化处理的随采数据可有效指导采煤生产，为煤矿井下采煤智能化发展提供技术支撑。
The practical simulation and theoretical wave field analysis of mining seismic advance exploration technology indicate the need for comprehensive study on the extraction method of effective signal from mining sources. In this study, a two-dimensional numerical simulation is conducted using the staggered grid finite difference method, and pulse processing of continuous data with sampling is performed using cross-correlation and deconvolution interference methods. The results demonstrate that both cross-correlation interferometry and deconvolution interferometry are capable of pulsing the continuous data. It is observed that there are differences in the development of parallel x and vertical y component seismic waves. The overall continuity of x component seismic waves is satisfactory, but reflected waves produced by x component seismic waves are not prominent, and the energy of diffraction wave group is not strong. On the other hand, the energy on the source side of y component is weak, but reflected waves are noticeable, and the diffraction wave group is strong. Data with pulse processing can effectively guide coal mining production and provide technical support for intelligent development in underground coal mining.