自适应极化滤波在地震超前探测波场分离中的应用  

Application of adaptive polarization filter to wave separation in tunnel seismic prediction data processing

作　　者：葛文[1] 张致付[1] 李永军[2] 

机构地区：[1]中国地质大学地球物理与信息技术学院,北京100083 [2]华北科技学院安全工程学院,北京065201

出　　处：《地球物理学进展》2016年第2期649-654,共6页Progress in Geophysics

基　　金：国家自然科学基金(41530321;40804024)资助

摘　　要：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.Seismic wave separation is an essential step in tunnel seismic prediction（ TSP） data processing. Incomplete separation of reflected P wave and S wave leads to imaging artifacts. In this paper,a synthetic TSP data is simulated by finite difference method and polarization filter is used to separate reflected P and S wave. We show the impact of time window parameter on polarization filter. To avoid this problem,we adopt an adaptive method to optimize the time window according to the instantaneous frequency of seismic waves. Both fixed time window polarization filter and adaptive polarization filter are applied to a field TSP data and a comparison is made. The filtered results of synthetic and field data show that,adaptive polarization filter is more effective for separating reflected P and S wave.

关 键 词：极化滤波 波场分离 隧道地震超前探测 

分 类 号：P631[天文地球—地质矿产勘探]