164: Understanding the near-surface scattering problem

What this episode covers

Carlos Calderón-Macías discusses his 2022 Latin America Honorary Lecture, "Near-surface scattering in seismic data: from signal to noise and noise to signal." Carlos holistically explores the near-surface scattering problem in this conversation with host Andrew Geary. He highlights ways to understand the problem better and why using the noise as signal approach should be further developed. He also explores the differences in the scattered waves for land, ocean-bottom, and near-surface data. Carlos shares what inspired this lecture, the three groups perfect for this talk, and the questions he hopes attendees will ask themselves. Not only does this conversation highlight the near-surface scattering problem, but it showcases general approaches for solving any geophysical problem. Visit https://seg.org/podcast to read the full show notes and find the complete archive for Seismic Soundoff. RELATED LINKS * Listen to Carlos's course for free (https://www.knowledgette.com/p/near-surface-scattering-in-seismic-data-from-signal-to-noise-and-noise-to-signal) * Discover SEG on Demand (https://seg.org/Education/SEG-on-Demand#sort:path~type~order=Title~text~asc%7Cpaging:number=10%7Cpaging:currentPage=0) BIOGRAPHY Carlos Calderón-Macías joined ION Geophysical in 2006, advising seismic multicomponent, imaging, and model building. He is currently chief geophysicist in research and development. Carlos graduated with a Ph.D. in geophysics from the University of Texas at Austin in 1997 and earned a bachelor’s degree in geophysical engineering from the National Autonomous University of Mexico in 1992. Upon graduating from UT Austin, Carlos joined Mobil Technology as a visiting scientist researching multiple elimination and imaging technology. He joined the Mexican Institute of Petroleum (2000) to research multicomponent seismic for hydrocarbon exploration. Within ION Geophysical, Carlos has helped develop imaging and model-building technology for 3D seismic marine exploration, advised imaging/model building projects in the GOM and offshore Brazil, and has taught education courses and workshops. Carlos is currently an associate editor for Geophysical Prospecting and has been an SEG member for the past 25 years. SPONSOR This episode is brought to you by Geophysical Insights. Change your tools, change your world. Machine learning technology is accelerating interpretation workflows and yielding new insights in seismic and well data. Check out the guided workflows on the Paradise® AI workbench, including Stratigraphic Analysis, automatic Fault Detection, Attribute Generation and Selection, and Seismic Facies Classification, to name a few. Paradise is available on-premises or in the cloud. Visit https://geoinsights.com/products to get better tools. CREDITS SEG produces Seismic Soundoff to benefit its members and the scientific community and to inform the public on the value of geophysics. Please leave a 5-star rating on Apple Podcasts and Spotify to show your support for the show. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. And follow the podcast while you are on the app to be notified when each new episode releases. Original music created by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

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