石油地球物理勘探2025，Vol.60Issue(6)：1442-1452,11.DOI:10.13810/j.cnki.issn.1000-7210.20240192
基于超松弛雅克比迭代算法的三维地表一致性反褶积方法
Three-dimensional surface-consistent deconvolution method based on over-relaxation Jacobian iteration algorithm
摘要
Abstract
Surface-consistent deconvolution is a useful tool to improve the resolution of seismic data by com-pressing the seismic wavelets and enhancing the wavelets'waveform consistency.However,the conventional surface-consistent deconvolution mainly uses the least-squares method or the Gauss-Seidel method for spectral decomposition.Their decomposition results are easily affected by noise,which results in an increase of noise energy in the seismic data after deconvolution.Therefore,this paper proposes the three-dimensional(3D)sur-face-consistent deconvolution method based on the over-relaxation Jacobian iteration algorithm to improve the anti-noise ability of the surface-consistent deconvolution.First,the logarithmic power spectrum is effectively de-composed into five components,including source,receiver,common midpoint(CMP),offset and global term,by using the weighted least-squares objective function under strong noise conditions.Then,the five-component convolution model with the global term is used instead of the conventional four-component model,and the changing near-surface conditions are transformed into surface conditions similar to the global term,which thus effectively eliminates the waveform changes caused by inconsistent near-surface conditions.Test results of two sets of synthetic data and one set of 3D field data show that the over-relaxation Jacobian iteration algorithm has relatively strong anti-noise ability.The algorithm can effectively compress the seismic wavelets,enhance the wavelets'waveform consistency,effectively compress non-surface-consistent noise,and has achieved rela-tively good deconvolution performance,which shows great significance for enhancing the vertical resolution of seismic data in complex geological structures.关键词
反褶积/地表一致性/超松弛雅克比/谱分解/抗噪Key words
deconvolution/surface-consistent/over-relaxation Jacobian/spectral decomposition/anti-noise分类
天文与地球科学引用本文复制引用
XU Qianru,SONG Huan,REN Xiaoqiao,MAO Weijian,YANG Bingjie,WANG Wenchuang..基于超松弛雅克比迭代算法的三维地表一致性反褶积方法[J].石油地球物理勘探,2025,60(6):1442-1452,11.基金项目
本项研究受国家自然科学基金项目"基于点扩散函数的三维弹性波深度域地震保幅成像与反演方法研究"(42130808)和中国石油天然气集团有限公司科学研究与技术开发项目"地表一致性约束综合反褶积方法研究"(2021ZG03)联合资助. （42130808）
