叠前地震AVO反演是获取油气储层弹性参数的主要方法，宽频地震勘探是实现油气高精度预测的重要手段。现阶段面向宽频地震资料的AVO反演主要是针对常规地震资料的相关方法的拓展应用，欠缺对宽频地震富含稳定高低频分量等优势特征的考虑。本项目拟聚焦基于宽频地震资料的弹性参数低频模型建立及其AVO反演这一科学问题，开展宽频地震多域联合AVO反演方法研究。结合宽频地震资料复频域信息在弹性参数低频分量预测中的优势，重点研究宽频地震复频域AVO反演方法，建立弹性参数低频模型，克服常规建模方法在井信息不足或地质条件复杂等情况下难以建立合理模型的不足；并以此模型为初始模型，考虑宽频地震有效的高频信息，进一步开展基于逐级扰动的时间域和频率域联合反演方法研究，实现弹性参数的高分辨率稳定反演。本项目旨在充分利用宽频地震丰富的高低频信息，形成宽频地震不同变换域AVO反演方法，提高弹性参数叠前反演的可靠性及分辨能力。

AVO inversion utilizing pre-stack seismic data works as an important tool in the estimation of elastic parameters of oil/gas reservoirs. Broadband seismic technology plays an important role in high-precision seismic exploration. Current AVO inversion approaches utilized for broadband seismic data do poorly in considering the abundant extension of low and high frequency component contained in broadband seismic data. Focusing on the establishment of low frequency model and AVO inversion of the elastic parameters, different approaches of AVO inversion in multiple domains are deeply studied in this project. Considering the superiority of broadband seismic inversion of complex frequency domain in the estimation of low frequency component of elastic parameters, we mainly study the AVO inversion approach in complex frequency domain to implement the establishment of low frequency model of elastic parameters. Comparing with conventional approaches to establish the low frequency of elastic parameters, this approach enhances the precision in cases with the sparse well information or complex geological conditions. With this low frequency model as initial model for inversion, a robust AVO inversion approach with iterative perturbation algorithm in joint time and frequency domain is further proposed to implement the final estimation of elastic parameters given the abundant high component of broadband seismic data. This project aims to develop the broadband seismic AVO inversion approaches in different transform domains to enhance the reliability and resolution of the estimation of elastic parameters.