石油物探2025，Vol.64Issue(2)：247-256,10.DOI:10.12431/issn.1000-1441.2023.0031
基于修正型FR共轭梯度法的时间域粘声多参数全波形反演研究
Research on domain visco-acoustic multiparameter full waveform inversion based on modified FR conjugate gradient method
摘要
Abstract
The real earth media is characterized by the visco-elasticity,and it is of practical importance to study the full waveform inversion method in visco-elastic media.The full waveform inversion(FWI)is used to estimate the subsurface parameters by matching the simulated data obtained by the forward simulation with the actual recorded seismic data,and the optimization algorithm is generally used to solve the problem.To address the problems of complicated Hessian matrix calculation and slow convergence speed of conjugate gradient method in full waveform inversion,the modified FR conjugate gradient method is applied to the full waveform inversion.The modified FR conjugate gradient method uses more gradient information and has similar structure and properties as the quasi-newton algorithm,which makes the convergence more stable while speeding up the convergence speed and needs little more calculation.This paper use this method conduct a study of the time-domain visco-acoustic multiparameter full waveform inversion under the SLS model.The model test show that the modified method can obtain more accurate inversion results than the conventional FR conjugate gradient method,accelerate the convergence and resolution of deep layer.And the two-step inversion strategy is used to further improve the inversion effect of Q.关键词
全波形反演/粘声波方程/速度/品质因子/修正型FR共轭梯度法Key words
FWI/visco-acoustic wave equation/velocity/Q-factor/modified FR conjugate gradient method分类
天文与地球科学引用本文复制引用
李振春,赵贤阳,张春燕,张凯,徐夷鹏,孟繁琨..基于修正型FR共轭梯度法的时间域粘声多参数全波形反演研究[J].石油物探,2025,64(2):247-256,10.基金项目
国家自然科学基金项目(42074133)和中石油重大科技合作项目(ZD2019-183-003)共同资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.42074133)and the Major Scientific and Technological Project of PetroChina(Grant No.ZD2019-183-003). （42074133）
