空间反射结构正则化多道反褶积

Multichannel deconvolution with spatial refl ection regularization

在高分辨率地震资料处理中通常采用稀疏脉冲反褶积方法来展宽地震数据的有效频带,增强地震数据刻画薄层结构的能力。但是,现有的稀疏脉冲反褶积方法采用逐道运行模式,未考虑地震信号在相邻道之间的空间约束关系。受高频噪声的影响,反褶积结果不仅具有较强的多解性,且降低了地震信号的空间连续性。为此,本文提出了一种空间反射结构正则化多道稀疏脉冲反褶积方法。该方法从地震数据本身提取空间反射结构表征算子,将表征算子引入到多道稀疏脉冲反演的正则化条件,增强了稀疏脉冲反褶积方法的抗噪性和稳定性。理论模型实验和实际资料处理证实了该方法的正确性和可行性。

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 refl ection structure characterization from the raw seismic data and introduces it to the multichannel deconvolution algorithm as a spatial refl ection regularization.Benefi ting 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 confi rm the correctness and feasibility of the proposed method.