Yanfei Wang, Professor, Institute of Geology and Geophysics, Chinese Academy of Sciences

Chong Chen, Associate Professor

Big data, artificial intelligence and counter-problems

10:25-11:10 August 31(Wednesday), Z311

In recent years, we have used a variety of geophysical methods to study the structure and imaging of underground media from different view of points. In terms of model-based inverse problems, the correlation between multiple physical parameters is used as a priori information, and spatial structure coupling characteristics are also introduced. With appropriate geological assumptions, by studying appropriate optimization inversion algorithms, the inversion precision and interpretation are improved. In terms of data-based inverse problems, since geophysical data is generally "big data" in the 5V sense, artificial intelligence analysis methods (including machine learning) can be further introduced to improve the ability of the inversion accuracy and interpretation of geophysical inverse problems.