应用逆散射级数波场预测和2D卷积盲分离压制层间多次波

多次波压制是地震数据处理的重要环节。基于波动方程的预测相减法是压制层间多次波的常用方法，它包括层间多次波预测以及自适应相减两个步骤。文中提出了一种改进的层间多次波压制方法，通过引入阶跃函数、有限积分区间等假设条件简化逆散射级数公式，实现层间多次波的预测；然后引入2D卷积盲分离方法实现层间多次波的自适应匹配相减。理论模型试算及实际资料应用效果表明，该方法能在不依赖速度模型前提下高效实现层间多次波预测；采用的多道卷积盲分离自适应相减方法，比传统L₂范数最小化自适应相减方法和单道卷积盲分离自适应相减方法，能在有效压制层间多次波的同时，更好地保护一次波。

Wavefield prediction with inverse scattering series and 2D blind separation of convolved mixtures for suppressing internal multiples

Multiple suppression is an important step of seismic data processing.The prediction subtraction method based on wave equation is a common one to suppress internal multiples.This method includes two steps: internal multiples prediction and adaptive subtraction.After introducing hypothesis conditions such as step function and finite integral interval,we proposed a simplified formula to simplify the inverse scattering series for predicting internal multiples,and then introducing adaptive subtraction based on 2D blind separation of convolved mixtures to conduct adaptive subtraction with matching filters.Synthetic and field data have de-monstrated that the method is data-driven and independent on a velocity model for predicting internal multiples.Furthermore,compared with the traditional method based on L₂-norm and single-channel blind separation of convolved mixtures,the method based on multi-channel blind separation of convolved mixtures can better protect effective primary waves while suppressing internal multiples.