一种基于AR模型的预测滤波压制随机噪声方法  

A method of predictive filter pressing random noise based on AR model

作　　者：谢金娥[1] 刘志成[1] 任跃华[1] 

机构地区：[1]中国石化石油物探技术研究院,南京210014

出　　处：《世界地质》2012年第3期567-573,共7页World Geology

基　　金：中石化科技部项目<库东三维地震成像技术研究>(P11033)

摘　　要：在地震勘探中,随机噪声是一类不可避免的噪声,它的存在极大地降低了地震资料的信噪比,导致偏移成像效果差甚至不能成像。自适应线性预测滤波方法是在时间--空间域自回归(AR)模型系数变化的假定下,把自回归(AR)模型数学表达式进行变换,引入代价函数以提高解的稳定性、唯一性,推导得到压制一维和二维随机噪声的递归算法。通过模拟和实际地震资料验证表明,该方法能较好地压制低信噪比资料中的随机噪声干扰,同时能较好地保护有效地震信号。Random noise is a kind of noise which is hard to advoid in seismic exploration,and it is greatly decreased signal-to-noise ratio of seismic meterials,resulting in poor or no migration imaging.Adaptive predictive filter method updated AR model formula under the assumption of AR model factors change in t-x domain,then introduced cost function to improve the stability and uniqueness of the solution and got 1D and 2D pressing noise recursive formula.Synthetic and real data examples showed that adaptive predictive filtering pressed the random noise interference in signal-to-noise ratio data and protected effective seismic wave well.

关 键 词：自适应 预测滤波 随机噪声 信噪比 

分 类 号：P631.42[天文地球—地质矿产勘探]