Chris Hanton, Director of Digital Transformation Solutions at Ikon Science, discusses the latest insights using machine learning and artificial intelligence. Chris highlights one frequently overlooked variable that can undermine the best technology. He also shares how technologists can ensure data is trustworthy and valuable and presents the use case for investing in machine learning and AI outside of increased efficiency. This is a deep dive into the role of quality data in cutting-edge work and the best ways to harness the benefits of machine learning and artificial intelligence.

One of SEG's great traditions is the special recognition of individuals and organizations for their contributions to geophysics and the Society. In this special episode, we celebrate Öz Yilmaz and Xianhuai Zhu for their Maurice Ewing Medal and Virgil Kauffman Gold Medal honors, respectively. First, Andrew Geary speaks with Xianhuai Zhu about how he discovered geophysics and then shares four items of advice for his colleagues and geoscientists. Öz Yilmaz then joins the show to reflect on his long and significant career, what this honor means, and the principles and perspectives that have helped him continue to be a successful geophysicist. This is a unique opportunity to hear from the best of the best in geophysics.

Souvik Mukherjee discusses his article in July's The Leading Edge about high-resolution imaging of subsurface infrastructure using AI. In this conversation, Souvik presents field study results from Texas and California that show the potential for imaging pipelines and other subsurface infrastructure using AI-based methods on high-resolution aboveground magnetic data. He also highlights the similarities and differences between conventional least-squares inversion and machine learning-based inversion and how he achieved a 100-fold increase in efficiency. Whether exploring AI, machine learning, algorithms, or the latest geophysical technology, this conversation has something for everyone.

Mark Willis discusses his upcoming Distinguished Instructor Short Course, "Distributed acoustic sensing for seismic measurements – what geophysicists and engineers need to know." In this conversation with host Andrew Geary, Mark helps geoscientists and engineers build intuition and understanding of DAS seismic technology's value, limitations, and applications. Mark also discusses the most common objection to DAS, when DAS is better than conventional seismic acquisition, and tips for someone planning their first DAS seismic survey. Mark will be teaching this course for the first time at IMAGE, and this is a great preview of the valuable, insightful, and helpful tools and resources you will gain from this course.

Olga Nedorub and Diana Sineva preview IMAGE 2022 and the upcoming panel, "Changing The Dynamics Of Energy Use." Olga starts with a brief overview of the technical program at IMAGE and how Diana reached out to her to host this panel. Next, Diana explains how energy efficiency is the glue to the current energy transition, the difference between energy conservation and energy efficiency, and why attendees should attend the panel. Diana also highlights why 40% of the current energy is wasted, why this estimate is low, and how to improve this number without sacrificing comfort or the bottom line.

Sara K. McBride discusses her paper, "Evidence-based guidelines for protective actions and earthquake early warning systems," in the January/February issue of GEOPHYSICS. In this engaging and helpful conversation, Sara highlights the various protective actions people can take during an earthquake. This serves as an excellent reminder on how to stay safe during earthquakes, the latest research in warning people of danger, and a helpful path forward to continue to save lives during earthquakes.

Arnab Dhara discusses his paper, "Physics-guided deep autoencoder to overcome the need for a starting model in full-waveform inversion," in the June issue of The Leading Edge. Arnab proposes employing deep learning as a regularization in full-waveform inversion. He explains why physics-based solutions with machine learning are challenging to develop, how he made it possible to train the network without known answers, and why he tested his approach with the Marmousi and SEAM models. Arnab also shares why this research took over 20 years to build on the initial idea and how he used full-waveform inversion without a starting model. This is a cutting-edge conversation that may represent the future of FWI.

Yanlong Niu discusses his paper, "In-situ physical properties of reclaimed lands in Singapore," from the May issue of The Leading Edge. Yanlong explores the value of multichannel analysis of surface waves to investigate these lands and shares what they discovered with these pioneering tests. These in-situ measurements are crucial for civil engineering constructions and the redevelopment of reclaimed lands in the future. So he also offers tips on how other geophysicists can build upon this study in their communities.

Scott Singleton discusses why you should attend the 2022 Unconventional Resources Technology Conference in Houston, TX. Scott breaks down why every geophysicist should attend. Additionally, he highlights the value and knowledge engineers bring to land-based oil and gas exploration and why the multidisciplinary nature of this conference is the future of the industry.

Ariel Lellouch discusses his upcoming Middle East and Africa Honorary Lecture, "Applications of fiber-optic sensing to borehole seismology." In this conversation with host Andrew Geary, Ariel makes a case for geophysicists to utilize Distributed Acoustic Sensing (DAS) data in their work and why it's essential to look at data without any pre-made ideas. He also outlines the significant benefits of vertical DAS arrays and how to know when to use vertical or horizontal DAS. This is an excellent primer on DAS and a convincing case for why every geophysicist would benefit from engaging with this technology.