Seismic Soundoff

In this episode, host Andrew Geary and Xinming Wu discuss the present and future on deep learning for seismic interpretation. Xinming and Andrew discuss how deep learning can improve training data sets, the importance of open software packages, the value of understanding seismic interpretation across the workflow, and what would happen if this topic reached its full potential. Visit https://seg.org/podcast/Post/8847 for the complete show notes. BIOGRAPHY Xinming Wu serves as a professor at the University of Science and Technology of China, where he started the Computational Interpretation Group. 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 Dave Hale at the Center for Wave Phenomena. He received SEG awards for Best Paper in GEOPHYSICS with Dave Hale in 2016, Best Student Poster Paper with Sean Bader and Ser