Podcast Tag: Machine learning

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 159: Optimizing the benefits of machine learning for scientific problems

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.

Episode 155: Removing the starting model for FWI

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.

Episode 138: The power and pitfalls of modern geostatistical models

Danilo Jotta Ariza Ferreira discusses modern geostatistic methodologies from the December 2021 special section on Latin America in The Leading Edge. Danilo shares how to avoid two common pitfalls in geostatistical modeling, why models are always wrong (but you should still use them), and highlights a few innovations in seismic-based geophysical solutions. This conversation will help geophysicists working in Latin America, those using modern modeling techniques, and those looking to connect modern research to their work,

Episode 127: Breakthroughs for surface-wave tomography for the near-surface

Myrto Papadopoulou and Farbod Khosro Anjom spotlight the recent advances in surface-wave tomography for near-surface applications from August’s The Leading Edge. In this episode, Myrto and Farbod discuss why surface-wave tomography has not been applied regularly to near-surface applications, highlight more efficient models they developed, explain how automatic data screening allowed for their breakthroughs, and imagine what future advances in surface-wave tomography will occur. Myrto and Farbod are both postdoc researchers at the Department of Environment,

Episode 105: Why now is the right time for mining geophysics

In this episode, host Andrew Geary speaks with Jean Legault on mining geophysics, the featured special section in February’s The Leading Edge. In this conversation, Jean highlights the similarities and differences of mining geophysics with seismic, why now is a great time to be a mining geophysicist, and the growth of machine learning in the field. There’s something in this interview for everyone. Seismic Soundoff · 105: Why now is the right time for mining

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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