西安石油大学学报（自然科学版）2026，Vol.41Issue(2)：34-40,7.DOI:10.3969/j.issn.1673-064X.2026.02.004
基于迭代测井反射系数的井信息约束地震拓频方法研究
Research on Seismic Frequency Extension Method Constrained by Well Information Based on Iterative Logging Reflection Coefficient
摘要
Abstract
In geophysical exploration,logging data has high vertical resolution but lacks lateral resolution.Seismic data has high lateral resolution and can achieve continuous tracking of geological interfaces,but its vertical resolution is relatively limited.In order to expand the seismic frequency band and improve the quality of seismic data,a seismic frequency extension method constrained by well informa-tion based on iterative logging reflection coefficient is proposed.Firstly,the logging reflection coefficient is extracted from the logging da-ta,and the logging reflection coefficient and the seismic wavelet are synchronously optimized through iterative algorithm to improve their matching degree in low frequency range.Secondly,the iteratively processed logging reflection coefficient is matched with the well-side seismic traces to extract the matching factors at the well locations,and the matching factors at all well locations are subjected to spatial variation processing.Finally,a high-resolution seismic geological model is synthesized using spatially varying matching factors to con-struct a sparse inversion framework constrained by logging information,thereby improving the resolution of seismic data.The processing results of actual data show that this method effectively broadens the seismic frequency band and significantly improves seismic resolu-tion.At the same time,the structural details on the seismic profile were not destroyed,greatly improving the overall quality of seismic data.关键词
频带宽度/稀疏反演/地震地质模型/测井资料/地震资料/迭代系数Key words
frequency bandwidth/sparse inversion/seismic-geologic model/well logging data/seismic data/iteration coefficient分类
天文与地球科学引用本文复制引用
郑伟,潘龙,程志国,张万龙,王晓涛,陈勇,李胜军..基于迭代测井反射系数的井信息约束地震拓频方法研究[J].西安石油大学学报（自然科学版）,2026,41(2):34-40,7.基金项目
中国石油天然气股份有限公司基础性、前瞻性项目"复杂气藏地震识别与预测技术研究"(2016DJ0606)及甘肃省科技重大专项"陇东地区天然气藏地球物理预测关键技术研发及应用"(23ZDGA004) （2016DJ0606）
