【摘要】 针对低信噪比地震资料中的随机噪声干扰,提出了一种优化的预测滤波方法.通过对AR模型数学表达式进行改写,然后引入反褶积代价函数,最后推导得到压制随机噪声的递归算法.该算法实现了单道压制随机噪声,保护了有效信号的细节部分,比基于常规最小二乘代价函数的滤波算法收敛更快.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.更多还原

【Abstract】 The paper proposed an optimization prediction filter to pressing random noise in low-S/N seismic meterial.Through modifying AR model mathmatics function,involving deconvolution cost,we developed recurrence algorithm to suppresing random noise.It better than quadratic constraint in convergence rate,and the algorithm achieved single-trace filter,protected effect signals’s detail part.Synthetic and real seismic meterial testing indicate this methods can suppress random noise effectively in low-S/N seismic meterial,at same time protecting effect signals well.更多还原