Podcast Tag: AI

Episode 210: Unveiling Seismic Secrets – Inside Machine Learning’s Black Box

“It’s ​not ​like ​machine ​learning ​will ​solve ​all ​the ​problems. ​It’s ​not ​a ​magical ​tool.”

David Lubo-Robles highlights his award-winning paper that utilized novel machine learning methods to enhance interpretability in seismic volume data from the Gulf of Mexico. Listeners will gain insight into the critical role of input quality in machine learning outcomes, the importance of balancing datasets, and the necessity of geoscientific validation. The episode also addresses common misconceptions about machine learning in geophysics, emphasizing the need for critical thinking and geological knowledge to apply these advanced techniques.

Episode 209: Thinking like an algorithm – utilizing machine learning in seismic data

“The driving objective of AASPI is to try and reveal and see more patterns in the seismic data than we can see just looking at the seismic amplitude data.”

Heather Bedle, Principal Investigator at Attribute Assisted Seismic Processing and Interpretation (AASPI) at the University of Oklahoma, joins Seismic Soundoff. In this episode, you will discover how AASPI reveals hidden patterns in seismic data, pushes the boundaries of geologic interpretation, and reshapes our understanding of the Earth using cutting-edge research and technology.

Episode 208: Pioneering Seismic Imaging for Energy and Sustainability

Biondo Biondi, the Director of the Stanford Earth imaging Project (SEP), discusses SEP’s 50-year history and future outlook. Biondo reflects on SEP’s founding during the 1970s oil crisis and today as it tackles modern energy challenges. Biondo discusses how improving seismic imaging can support the future of carbon capture and geothermal energy and help build resilient cities. He also shares why he believes so many SEP alums have been guests on this podcast!

Episode 189: How to apply machine learning to real-world problems

Mathematician Herman Jaramillo discusses his new book, Machine Learning for Science and Engineering Volume One: Fundamentals. As the size and complexity of data soars exponentially, ML has gained prominence in applications in geoscience and related fields. ML-powered technology increasingly rivals or surpasses human performance and fuels a large range of leading-edge research. This conversation explores the hottest topics facing students, scientists, and engineers and provides a solid foundation to understand how to utilize this cutting-edge science in your work.

Episode 178: Why you should consider drone-based geophysics

Dr. Callum Walter discusses the benefits of drone surveys when taking on dirty, dangerous, and demanding jobs. He highlights the similarities and differences compared to other geophysical surveys and the unique difficulties when collecting data by drones. Callum outlines a few case studies currently benefiting from drones, the possibility of rocket-powered drones, and using drones in off-world environments. Callum also offers when drones could be right for your project profile.

Episode 166: Integrating digital transformation into your business

Steve Darnell discusses how digital transformation improves business processes in-depth. He emphasizes the importance of cybersecurity, how to start the digitalization process, and highlights the common obstacles companies face when embracing digital transformation. He also comments on the common misperceptions and the hidden benefits of embracing digital advancements. This conversation on digital transformation connects to all parts of the oil and gas workflow and showcases the value proposition for companies. 

Episode 161: The Benefits of ML & AI Hinge on a Common Denominator

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.

Episode 94: The case to adjust quicker to machine learning for geophysics

In this episode, host Andrew Geary speaks with Mehdi Aharchaou on machine learning and AI, the featured special section in October's The Leading Edge. Mehdi shares his expertise in machine learning and explains why he believes the industry needs to do more to adopt and adjust to the digital revolution. This conversation covers important ground essential for all geophysicists and businesses – do not miss it!

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