石油物探2025，Vol.64Issue(5)：890-898,9.DOI:10.12431/issn.1000-1441.2024.0106
基于稀疏分解的高波数全波形反演方法
A high-wavenumber full waveform inversion method based on sparse decomposition
摘要
Abstract
Complex reservoir imaging and characterization impose higher requirements on the accuracy of velocity modeling.High-wavenumber full waveform inversion(FWI)is an effective way to realize high-precision velocity modeling.To address the instability and local minima issues inherent in high-wavenumber FWI,appropriate multi-scale inversion strategies are required.This study implements high-resolution time-frequency decomposition of time-domain seismic data through a local peak-constrained sparse decomposition method,and constructs a sparse decomposition-based FWI algorithm.This approach enables multi-scale inversion from low to high wavenumbers to reconstruct the velocity model,thereby providing a high-accuracy velocity field for reservoir imaging and characterization.Numerical model tests show that sparse decomposition-based high-wavenumber FWI enhances inversion stability and yields high-precision velocity models.The application to practical data shows that reservoir description can be directly carried out using the velocity model derived from high-wavenumber FWI to a certain extent.关键词
稀疏表示/局部峰值约束/全波形反演/速度建模/储层描述Key words
sparse representation/local peak constraint/full waveform inversion(FWI)/velocity modeling/reservoir description分类
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杜泽源..基于稀疏分解的高波数全波形反演方法[J].石油物探,2025,64(5):890-898,9.基金项目
国家自然科学基金项目(U19B6003)和中国博士后科学基金项目(2019M662004)共同资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.U19B6003)and the China Postdoctoral Science Foundation(Grant No.2019M662004). （U19B6003）
