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在地形多变的丘陵地区,地震资料的面波衰减成为一大难题。本文介绍的两种面波衰减革新方法是用不同标准组合方式对有效信号和噪声进行区分的。第1种称双重(视速度和极化)投影滤波,我们以美国南部丘陵地区合成记录证明了其噪声监测能力;第2种是综合利用视速度与不同时间和空间尺度的分解对传统FK滤波方法的改进,我们以加拿大丘陵地区单分量实际地震资料为例进行了说明。
In the hilly terrain change, the seismic data attenuation of surface waves become a major problem. This article describes two innovative methods of surface wave attenuation is the use of different combinations of standard methods to distinguish the effective signal and noise. The first one, called dual (velocity and polarization) projection filtering, demonstrated its ability to monitor noise in a composite record in the southern hilly region of the United States. The second is the use of apparent velocity and decomposition of different temporal and spatial scales for traditional FK filtering The improvement of the method is illustrated by taking the single component actual seismic data in the hilly area of Canada as an example.