University of Science and Technology of China
Xinming Wu is a professor of Geophysics at USTC (University of Science and Technology of China), where he is leading the Computational Interpretation Group (CIG).
Xinming received an engineering degree (2009) in Geophysics from Central South University, an M.Sc. (2012) in Geophysics from Tongji University, and a Ph.D. (2016) in Geophysics from the Colorado School of Mines where he was a member working with Dr. Dave Hale at the Center for Wave Phenomena. He interned twice at Transform Software and Services/DrillingInfo during the summer and winter of 2014. From 2016 to 2019, he was a postdoctoral fellow working with Dr. Sergey Fomel at Bureau of Economic Geology, The University of Texas at Austin.
He received the SEG's awards for: J. Clarence Karcher Award, 2020; Honorary Lecturer, South & East Asia, 2020; Best Paper in Geophysics with Dave Hale in 2016 (3D seismic image processing for faults); Honorable Mention for Best Paper presented at the 2018 SEG Annual Convention with Sergey Fomel in 2018 (Least-squares horizons). Xinming writes a lot of software packages for his research on seismic structural and stratigraphic interpretation, deep learning (e.g., FaultSeg), subsurface modeling, joint seismic and well-log interpretation, and geophysical inversion with geologic constraints.
Seismic structural interpretation and structural model building are important steps for us to interpret and understand the subsurface geologic structures. We facilitate these steps by using deep learning methods to 1) automatically identify faults, horizons, and geobodies from seismic images; 2) automatically and efficiently build implicit structural models from interpreted sparse and incomplete structural data (e.g., points, segments, and patches); 3) build rock property models by integrating seismic structures and well-log properties.