Reproducible Code for "Time-Lapse Full-Waveform Inversion Using Prior-Guided Radial Basis Function Networks"

This code repository supports the study titled “Time-Lapse Full-Waveform Inversion Using Prior-Guided Radial Basis Function Networks.” by Li et al. (Submitted) The field data used to test the proposed method is publicly available from Liu et al. (2023) via Zenodo: https://zenodo.org/records/7189417.The SEAM model employed in this study can be obtained by contacting the SEAM Corporation: https://seg.org/seam. Reference:Liu, X., Zhu, T., & Ajo-Franklin, J. (2023). Understanding subsurface fracture evolution dynamics using time-lapse full waveform inversion of continuous active-source seismic monitoring data. Geophysical Research Letters, 50(4), e2022GL101739. https://doi.org/10.1029/2022GL101739本代码仓库支撑Li等人（已投稿）题为《基于先验引导（Prior-Guided）径向基函数网络（Radial Basis Function Networks）的时移全波形反演（Time-Lapse Full-Waveform Inversion）》的研究工作。 本研究用以验证所提方法的野外实测公开数据集，可由Liu等人2023年的研究成果通过Zenodo平台获取，链接：https://zenodo.org/records/7189417。 本研究采用的SEAM模型可通过联系SEAM公司获取，链接：https://seg.org/seam。 参考文献：Liu, X., Zhu, T., & Ajo-Franklin, J. (2023). 《利用连续主动源地震监测数据的时移全波形反演解析地下裂缝演化动力学》，《地球物理研究快报》，50(4)，e2022GL101739. https://doi.org/10.1029/2022GL101739