自适应预测反褶积多次波衰减技术在海上地震资料处理中的应用

Application of Adaptive Predictive Deconvolution Multiple Attenuation in Marine Seismic Data Processing

针对海上常见的鸣震、层间多次等常见的短周期多次波,用预测反褶积衰减多次波方法存在较多多次残留问题,通过设计自适应滤波器,用最小均方算法的迭代公式来更新自适应预测反褶积的关键参数预测因子,预测步长和因子长度可由多次波分布的周期与范围不同来自动设置。通过模型对比试验发现,该方法对鸣震、层间多次波比较发育资料效果尤其明显;并通过实际资料进行了相关验证,分析对比所得的一些关键成果图件,显示该方法有良好的应用前景。

For reverberation, interlay multiple and other short-period multiples commonly seen in the sea, predictive deconvolution of multiple attenuation will leave much residual. Through the design of adaptive filter, itera- tive formula of least mean square algorithm to update the parameters adaptive predictive deconvolution predictor, whose prediction step and factor length can be automatically set by the distribution cycle and scope of different mul- tiples. In model comparison, the new method has obvious advantage in processing interlayer multiples with high en- ergy and unobvious wave group characteristics. It was verified by actual data. Some key resulting maps were ana- lyzed and compared. This method has good prospects.