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本文提出了一个新的方法以消除三维地震资料中的相关噪音。广义消除旁瓣聚束滤波方法(GSC)作为自适应线性约束聚束滤波方法(LCMV)的一个广义形式,包括一个固定的自适应聚束滤波器和一个在无约束聚束滤波器前的控制矩阵。考虑到三维观测系统的复杂性、在三维聚束滤波方法设计中有两个关键点:(1)采用将地震资料按方位角分区,把三维时距关系简化为二维;(2)引入动态平衡面元,避免有的方位角分区内地震道数可能不够。合成资料和实际资料结果表明,新研究的广义消除旁瓣聚束滤波方法能够得到高效、稳定和高分辨率的解。
This paper presents a new method to eliminate the correlated noise in 3D seismic data. The Generalized Elimination of Sidelobe Bunched Filter (GSC), as a generalized form of the Adaptive Linear Constrained Bunched Filter (LCMV), consists of a fixed adaptive bunched filter and a control before the unconfined bunched filter matrix. Considering the complexity of three-dimensional observation system, there are two key points in the design of the three-dimensional beamforming method: (1) the seismic data are zoned by azimuth and the 3D time-space relationship is reduced to two-dimensional; (2) Balancing bones, avoiding some of the azimuthally zoned seismic traces may not be enough. The results of the synthetic data and the actual data show that the new generalized depolarization side-lobe clustering filtering method can obtain efficient, stable and high-resolution solutions.