123: Land Seismic Case Studies with Oz Yilmaz

Oz Yilmaz discusses his latest book, "Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging." Written for practicing geophysicists, this book is the culmination of land seismic data acquisition and processing projects conducted by Oz over the last two decades. Containing nearly 800 figures from worldwide 2D and 3D case studies, it is a comprehensive guide to understanding the acquisition, processing, and analyzing of seismic data. In this episode, Oz shares why marine versus land seismic makes an important difference, why the image-based workflow described in the book matters to geophysicists, the criteria for a migration algorithm to qualify as a depth migration algorithm, one of the most likely applications of artificial intelligence for seismic data analysis, and more. Oz's expertise and experience are highlighted in detail in this revealing and essential conversation. Visit https://seg.org/podcast for the link to Oz's book and a bonus clip highlighting the case studies presented in the book. BIOGRAPHY Dr. Oz Yilmaz received his Ph.D. in Geophysics from Stanford University. He previously worked for Schlumberger, Western Geophysical, and Paradigm. Dr. Yilmaz received the Virgil Kauffman Gold Medal Award from SEG in 1991 and the Conrad Schlumberger Award from EAEG in 1992. He served SEG as Vice-President from 1993-1994, and as the 1996 Spring Distinguished Lecturer. He also served EAEG in 1992 as Associate Editor of Geophysical Prospecting. He is the author of several books, most recently "Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging." SPONSOR This episode is brought to you by CGG. Sometimes the toughest challenges are the ones right below your feet. The “near-surface” is notorious for generating a host of issues for seismic imaging, and overcoming these challenges demands experience and the latest technology. For over 90 years CGG has championed the latest seismic advancements. From industry-leading surface wave inversion and advanced de-multiple algorithms to the high-performance computing required for modern land datasets, CGG can help you tame the near-surface so you can image the deep. Let CGG help you to see things differently. Visit https://www.cgg.com/ to learn more. CREDITS Original music by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Ted Bakamjian, Kathy Gamble, and Ally McGinnis. You can follow the podcast to hear the latest episodes on Apple Podcasts, Google Podcasts, and Spotify.