Multichannel deconvolution based on adaptively directional TV regularization
As an effective method to improve the vertical resolution of seismic data,the deconvolution technique has been being a research hotspot in the field of seismic exploration.The traditional seismic deconvolution method adopts a trace-by-trace sparse inversion strategy to reconstruct the subsurface reflectivity series,which ignores the spatial relationship between adjacent seismic traces,resulting in poor spatial continuity of the decon-volution result.Although the multichannel seismic deconvolution method based on total variation(TV)con-straint can mitigate the spatial discontinuity caused by the trace-by-trace inversion,it is only applicable to block structures because it does not consider the geological structural information.To overcome this problem,a multi-channel seismic deconvolution algorithm with adaptively directional TV(ADTV)constraint is proposed in this paper.The approach constructs the ADTV regularization based on the local geological structure direction,un-like traditional TV regularization that only consider horizontal and vertical directions.Therefore,ADTV can better protect weak reflection signals,more clearly depict the spatial distribution of the subsurface geological bodies,and guarantee the spatial continuity of the deconvolution result in the case of complex geological struc-tures.Both synthetic and field data processing results show that the proposed method can provide deconvolu-tion results with high resolution and strong spatial continuity.
万方数据
维普
