135: The new paradigms in seismic inversion

Miguel Bosch discusses his Honorary Lecture, "The new paradigms in seismic inversion." Miguel explains how elastic Full Waveform Inversion and the Markov Chain Monte Carlo approach improve seismic inversion, discusses if data analysis and machine learning are essential to practice inversion, and highlights new tools that will improve the accuracy of inversion. This conversation provides great value and insight into the essential work of inversion. RELATED LINKS * Watch Miguel's course: The New Paradigms in Seismic Inversion (https://www.knowledgette.com/p/the-new-paradigms-in-seismic-inversion) * Discover SEG on Demand (https://seg.org/Education/SEG-on-Demand) * The SEG podcast archive (https://seg.org/podcast) BIOGRAPHY Miguel Bosch’s expertise is in the field of geophysical inversion with a focus on advanced seismic inversion methods and data integration in complex reservoir models. He has worked on inference problems at different earth scales. In the topic of oil and gas reservoir description, he develops services and technology for the upstream oil and gas industry. Miguel has supervised a large number of projects on seismic inversion, reservoir characterization, and integration, and developed advanced technology and software for these fields. His recent research involves focused Full Waveform Inversion and quantitative Knowledge Networks for data integration. He graduated with a Ph.D. in Geophysics from the Institut de Physique du Globe de Paris, working with Albert Tarantola, and was a full professor and Head of the Applied Physics Department at the Universidad Central de Venezuela. He is an active member of the SEG, AGU, EAGE, IAMG, AAPG, GSH and serves as associate editor in the area of reservoir geophysics for the journal GEOPHYSICS. He is presently the founder and CEO of Info Geosciences Technology and Services. SPONSOR This episode is brought to you by CGG. When you need accurate estimates of reservoir properties, it all comes down to the details. For more than 90 years, CGG has led the industry in advanced subsurface imaging, providing the best possible input for reservoir characterization. Our proprietary time-lag FWI technology provides detailed and robust velocity models and remarkable FWI imaging results in even the most complex geological settings. Better images, better knowledge, better outcomes: upgrade your reservoir imaging and see things differently with CGG. 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