石油物探2026，Vol.65Issue(1)：40-54,15.DOI:10.12431/issn.1000-1441.2025.0007
基于空间结构与联合稀疏表征的反演低频模型构建方法
Constrained spatial structure reconstruction for low-frequency model building in seismic inversion
摘要
Abstract
The lack of low-frequency information in seismic inversion typically necessitates supplementation with well log data.Most existing methods rely on spatial interpolation techniques to build low-frequency models.Their core assumption is spatial continuity of subsurface structures and similarity of attribute values at adjacent locations,assigning uniform weights to well logs for lateral prediction.However,these methods inadequately account for the complexity of lateral stratigraphic variations and the vertical heterogeneity of well logs.When the actual structure deviates from these assumptions or when well data reliability is insufficient,they can often lead to artifacts such as the"bull's-eye effect"and horizon mixing in the model,significantly deviating from the true geological scenario.To overcome these limitations,this paper proposes a novel low-frequency model construction method for inversion,based on spatial structure and joint sparse representation.This method abandons the traditional single-weight interpolation scheme.Instead,it innovatively employs a 2D weighted substitution of dictionary atoms for interpolation.Simultaneously,it incorporates the lateral continuity characteristics of seismic data,spatial structure information,and the vertical heterogeneity characteristics of well logs by leveraging joint sparse representation.Furthermore,it establishes an inversion-like iterative framework to achieve continuous optimization and updating of the low-frequency model.Application results on both synthetic data and actual data from a specific work area demonstrate that,compared to conventional interpolation methods,the proposed method constructs a low-frequency model with higher accuracy and greater reliability.关键词
反演低频模型/横向连续性/联合稀疏表征/空间结构信息Key words
inversion low-frequency model/lateral continuity/joint sparse representation/spatial structure information分类
能源科技引用本文复制引用
张明星,王峣钧,冯清雨,罗杨,于子琳..基于空间结构与联合稀疏表征的反演低频模型构建方法[J].石油物探,2026,65(1):40-54,15.基金项目
国家自然科学基金项目(42174151)和四川省科技揭榜挂帅项目(2025YFNH0001)共同资助.This research is financially supported by the National Natural Science Foundation of China(Grant No.42174151)and Sichuan Provincial Department of Science and Technology(Grant No.2025YFNH0001). （42174151）
