用优化聚束滤波方法消除低信噪比地震资料中的多次波

ATTENUATING MULTIPLES FOR LOW SIGNAL-TO-NOISE RATIO SEISMIC DATA USING OPTIMAL BEAMFORMING

针对常规方法如f k ,Radon变换不能很好解决的消除低信噪比地震勘探资料的多次波问题 ,本文提出了优化聚束滤波方法 ,采用具有静态权的自适应聚束滤波器 ,并调整聚束滤波器设计的约束准则 ,去除低信噪比复杂实际资料中的多次波 .实际资料处理结果表明 ,优化聚束滤波方法改善了最小方差无偏聚束滤波方法不能较好地处理低覆盖低信噪资料处理的局限性 。

We present an optimal beamforming method and its application to attenuating multiple for low signal-to-noise (S/N) ratio seismic data,which is better than some popular techniques like f-k and Radon transformation.The key point of the method is updating the constraint in the optimal beamformer design by using adaptive beamformer with the quiescent weighted vector.The example of real data processing example shows that this optimal beamformer method has improved the minimum variance unbiased beamformer significantly in attenuating multiples for low folding and/or low S/N ratio data at small extra cost.