论文部分内容阅读
在隧道地震超前探测(TSP)数据处理中,波场分离是重要流程之一,波场分离的质量直接影响着成像结果的精度.本文基于有限差分法模拟了二维超前探测数据,利用极化滤波方法分离了来自隧道前方断层构造的反射P波和S波,分析了时窗参数对滤波效果的影响,并用自适应方法确定时窗大小,从而避免了时窗选择的主观性.将方法应用于实测TSP数据的波场分离,模拟数据和实际地震超前探测数据的处理结果表明自适应极化滤波能够有效分离反射P波和S波.
In TSP data processing, wavefield separation is one of the important processes, the quality of the wavefield separation directly affects the accuracy of the imaging results.This paper simulates the two-dimensional advance detection data based on the finite difference method, using polarization The filtering method separates the reflected P-wave and the S-wave from the fault in front of the tunnel, analyzes the influence of time-window parameters on the filtering effect, and uses the adaptive method to determine the time-window size so as to avoid the subjectivity of time-window selection. The results of wave field separation, simulated data and advanced seismic exploration data of measured TSP data show that adaptive polarization filtering can effectively separate reflected P-wave and S-wave.