Multichannel deconvolution with spatial refl ection regularization
Li Hao 1,2, Li Guo-Fa♦1,2, Ma Xiong 1,2, Zhang Jia-Liang 3, Meng Qing-Long 3, and Zhang Zhu-Xin 3
1. CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum, Beijing 102249, China
2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China.
3. Dagang Oil Field, Petrochina, Tianjin 300280, China.
Abstract：
Seismic deconvolution plays an important role in the seismic characterization of thin-layer structures and seismic resolution enhancement. However, the trace-by-trace processing strategy is applied and ignores the spatial connection along seismic traces, which gives the deconvolved result strong ambiguity and poor spatial continuity. To alleviate this issue, we developed a structurally constrained deconvolution algorithm. The proposed method extracts the reflection structure characterization from the raw seismic data and introduces it to the multichannel deconvolution algorithm as a spatial reflection regularization. Benefiting from the introduction of the reflection regularization, the proposed method enhances the stability and spatial continuity of conventional deconvolution methods. Synthetic and field data examples confirm the correctness and feasibility of the proposed method.
2021, Vol. 18 
