【摘要】 不规则采样地震数据会对地震数据多道处理的效果造成严重影响。本文将单步预测滤波拓展到多步预测滤波,基于多步自回归预测滤波方法,实现对不规则地震数据的分步、抗假频重建方法。文中首先运用带限Fourier重建方法对不规则地震数据进行规则化重建,得到无假频低频数据的频率谱;接着使用多步自回归算子从重建数据的无假频低频谱中提取整个有效频带的预测滤波因子;然后利用已知道数据和预测滤波因子重建得到完整数据的频率谱,最终实现不规则地震数据的抗假频重建。理论模型和实际资料的处理结果验证了本文方法的有效性。更多还原

【Abstract】 It is well-known fact that the irregularly sampled seismic data (call irregular seismic data thereafter) will seriously affects the data processing quality for multi-channel seismic data processing.In this paper the single-step predictive filtering was expanded to multi-step predictive filtering on which step by step and anti-aliasing reconstruction method was realized.At first the band-limited Fourier reconstruction method was applied to reconstruct irregular seismic data,and the frequency spectrum for alias-free low frequency data was estimated,and then by utilization of construction of the known data and predictive filtering factor the frequency spectrum of the full data was obtained,and at last anti-aliasing reconstruction for irregular seismic data was realized.The theory model and processing for field data proved the validity of the method.更多还原