Invited by Research Center of Computational and Exploration Geophysics (RCCEG), Chief scientist Luo Yi from Arabian American Oil Company (Saudi Aramco) visited Institute of Geodesy and Geophysics (IGG) and gave two academic reports in title “Seismic wave velocity inversion in full-time” and “Deep learning for fault detection and first pick” on Mar. 8. The report was chaired by researcher Mao Weijian and there have more than 30 researchers and graduate students participated in the report.

The report introduced the theory and method principle of the full-time inversion (FTI) of the wave equation, and pointed out the defects of the traditional FTI inversion, namely that the travel time is hijacked by the amplitude and cannot be accurately inverted. Through the improved full-time inversion, large-scale velocity models can be established without the low-frequency data. Based on this, joint full-waveform inversion can achieve high-precision velocity modeling. In addition, the report also introduced the topic of deep learning, which focused on how to uses deep learning to achieve accurate detection of seismic section faults.

After the report, the audiences discussed relevant academic issues with prof. Luo. At the academic exchange meeting in the afternoon, prof. Mao Weijian and other members of RCCEG introduced their research projects. Luo Yi has deeply interested   in many frontier hot issues such as elastic wave imaging and inversion, simultaneous source separation and direct imaging. Prof. Luo also put forward some constructive suggestions for further research. The exchange visit has achieved very good results.