摘要 浅水海域地震资料通常会有较为严重的鸣震等短周期多次波干扰,一般采用预测反褶积进行压制,但是在地质构造较复杂地区其效果并不理想。而表层相关多次波压制方法(SRME)(Surface related multiple elimination)方法,由于海底反射信息较差,很难压制浅水海底相关等短周期多次波。本文使用数据驱动的浅水多次波压制方法,该方法同时基于SRME褶积方式与多道预测算子,在浅水复杂构造区压制短周期多次波方面可以取得比预测反褶积更好的效果。在实际资料应用中,使用本文方法与预测反褶积组合的方式,其多次波压制效果更为理想,优于单独使用其中任何一种方法。
Abstract：Predictive deconvolution is used usually for multiples removal in shallow water. But it does not work effectively in complex structure area for shallow water multiple removal. SRME can remove free surface multiples for most marine situations. But it is not suitable for shallow water multiple removal, primarily due to poor water bottom reflection. In this paper we propose a data-driven method for shallow water multiple removal. This method derives directly a multichannel prediction operator from seismic data. Field data tests results show that the proposed method can obtain better results than predictive deconvolution. Furthermore we show that joint use of this method and predictive deconvolution can give better result than a separate use of either of these two.
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