Multichannel deconvolution based on spatial structurally constraint and its applications

Traditional deconvolution methods based on single-channel inversion do not consider the spatial structural relation between channels, and hence, they yield high-resolution results with the existing transverse inconsistency or discontinuity. Therefore, in this study, the local dip angle was used to obtain the structural information and construct the spatial structurally constraint operator. This operator is then introduced into multichannel deconvolution as a regularization operator to improve the resolution and maintain the transverse continuity of seismic data. Model tests and actual seismic data processing have demonstrated the effectiveness and practicability of this method.