Abstract 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 eff ectiveness and practicability of this method.
Fund: This work was supported by the basic and forward-looking project(No. 2023YQX302)
Corresponding Authors: Wang Wan-Li (Email: wangwanli321@163.com).
E-mail: wangwanli321@163.com
About author: Wang Wan-Li is a Senior Engineer at PetroChina Research Institute of Petroleum Exploration and Development ,Northwest, Lanzhou 730020, China.He graduated from China University of Petroleum (Beijing) in 2012, majoring in earth exploration and information technology. At present, he is mainly engaged in high-resolution seismic processing, intelligent seismic processing and interpretation, and other methods. Mobile: 18719829178;Emai: wangwanli321@163.com
Cite this article:
. Multichannel deconvolution based on spatial structurally constraint and its applications[J]. APPLIED GEOPHYSICS, 2025, 22(3): 751-756.
2025, Vol. 22 
