石油地球物理勘探2026，Vol.61Issue(2)：358-367,10.DOI:10.13810/j.cnki.issn.1000-7210.20250120
应用L2,p范数约束的多道层Q值估计方法
Multichannel interval Q value estimation by L2,p norm constraint
摘要
Abstract
Based on acoustic wave theory and petrophysical theory,the observed variations in the seismic wave amplitude and phase typically arise from the coupled effects of intrinsic attenuation associated with rock proper-ties and thin-layer interference related to formation structures.Conventional Q value estimation methods generally overlook this coupling phenomenon,resulting in estimated Q values that represent the combined re-sponse of seismic apparent attenuation caused by intrinsic attenuation and thin-layer interference.Meanwhile,inaccurate Q values compromise the sparsity of inversion results for nonstationary reflection coefficients.To de-couple the effects of formation intrinsic attenuation and seismic apparent attenuation and thus enhance seismic resolution,this study adopts a Q scanning method,in which an L2,p group sparse norm is introduced to quantify the relationship between reflection coefficient amplitude and intrinsic attenuation.Intrinsic attenuation and ap-parent attenuation are decoupled by measuring the sparsity of inversion results obtained with different Q values.Additionally,the accuracy and stability of Q value estimation are improved by multichannel sparse reflection coefficient inversion,thereby developing a multichannel Q value estimation technology based on the L2,p norm criterion.Finally,the effectiveness of the proposed method is validated by numerical experiments and actual data.The results demonstrate that this method can accurately estimate the interval Q field varying with the space and time while obtaining seismic data after resolution enhancement.关键词
Q值估计/薄层干涉/固有衰减/多道稀疏反演/组稀疏范数Key words
Q estimation/thin-layer interference/intrinsic attenuation/multichannel sparse reflectivity inversion/group sparse norm分类
天文与地球科学引用本文复制引用
余子昭,谢涛,徐强,朱金强,宋鑫..应用L2,p范数约束的多道层Q值估计方法[J].石油地球物理勘探,2026,61(2):358-367,10.基金项目
本项研究受国家重点研发计划项目"CO2 驱油及封存安全监测技术"(2023YFB4104202)和中国海洋石油集团项目"基于分布式计算技术的地震处理平台建设及成像系统集成应用"(KJZH-2024-1907)联合资助. （2023YFB4104202）
