石油地球物理勘探2026，Vol.61Issue(2)：368-375,8.DOI:10.13810/j.cnki.issn.1000-7210.20250180
基于数字滤波的低频信息可控约束波阻抗反演
Digital filtering based impedance inversion with controllable low-frequency constraints
摘要
Abstract
Seismic data generally lacks low-frequency information in a range of 0-5 Hz,so how to effectively compensate for such information constitutes a critical step in improving the objective accuracy of seismic inver-sion.To this end,this paper proposes a digital filtering-based impedance inversion method with controllable low-frequency constraints.First,an inversion objective function is established to match synthetic seismogram de-rived from inversion results with seismic data and impose regularization constraints on reflection coefficients.Second,digital filtering is integrated into the objective function.During inversion iterations,low-pass filters are separately applied to the broadband geological model and inversion results by digital filter,so as to force the low-frequency information of inversion results to conform to that of the geological model.Therefore,the model-driven constraints on inversion results are achieved.Both model test and field application demonstrate that,com-pared with the existing impedance inversion methods,the proposed method only uses the low-frequency informa-tion of the geological model to constrain the low-frequency information of inversion results without distorting the mid-frequency and high-frequency information.Moreover,by regulating the frequency components of low-frequency information via a digital filter,this method offers a novel low-frequency constraint strategy for seis-mic inversion,which effectively enhances the application flexibility of geological models and improves the reso-lution and accuracy of impedance inversion results.关键词
宽频带地质模型/数字滤波/地质模型低频信息/低频可控约束Key words
broadband geological model/digital filtering/low-frequency information of geological model/con-trollable low-frequency constraint分类
天文与地球科学引用本文复制引用
杨培杰,修金磊,王长江,罗红梅..基于数字滤波的低频信息可控约束波阻抗反演[J].石油地球物理勘探,2026,61(2):368-375,8.基金项目
本项研究受中国石化科技项目"基于大数据的三维构造解释集成应用关键技术研究"(P25034)资助. （P25034）
