矢量Radon变换波场分离方法研究现状与展望

保持地震波场矢量特征的波场分离是多分量地震数据处理的核心问题之一。为提高多分量波场分离精度,基于传统Radon变换的优势,探讨了矢量Radon变换保持波场特征的可行性。首先,在分析传统Radon变换基础上,阐述了基于组稀疏的矢量Radon变换实现保持矢量波场振幅特性的纵、横波分离方法,并将其应用于模型数据的纵、横波分离;其次,介绍了复矢量Radon变换压制多分量地震数据面波干扰的处理方法,并展望了复矢量Radon变换在多分量地震数据处理中纵、横波分离和快、慢横波分离的应用前景。模型数据应用结果表明,基于组稀疏的矢量Radon变换波场分离方法能够保持多分量地震数据的矢量特性,并能获得好于非矢量Radon变换的纵、横波分离结果。

One of the key issues in processing multi-component data wavefields is wavefield separation that preserves the vector characteristics of the seismic wavefield.This study discusses the feasibility of maintaining the characteristics of the wavefield using the vector Radon transform to improve the accuracy of multi-component wavefield separation.First,the P-wave and S-wave separation method which maintains the amplitude characteristics of the vector wavefield based on the group sparse vector Radon transform was described.This was based on the analysis of the traditional Radon transform.Afterward,processing method to suppress surface waves in multi-component seismic data based on complex vector Radon transform was introduced.Subsequently,the application prospects for complex vector Radon transform in separating P and S-waves and the separation of fast and slow S-waves were presented.The model data results showed that the wavefield separation using vector Radon transform based on group sparse was able to maintain the vector characteristics of multi-component seismic data.It also provided better results compared to using the non-vector Radon transform.The application of complex vector Radon transform in multi-component seismic data processing is currently in its initial stages;the outcomes of this study provides a reference for future vector seismic data processing.

国家自然科学基金项目(41974157,U1839208)资助。