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.

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.

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.

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.

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!

In this episode, host Andrew Geary speaks with Simon Shaw and Arvind Sharma on July's The Leading Edge that highlights machine learning applications. Simon and Arvind discuss what problems machine learning successfully solves, the requirements and limitations of machine learning, what the next five years hold for the topic, and more.

In this episode, host Andrew Geary speaks with Nishank Saxena on advancements in image processing and machine learning. June's The Leading Edge highlights these topics and showcases methods to achieve meaningful geological results while reducing costs and increasing speed. Nishank Saxena served as a guest editor. 

Dr. Baishali Roy, special section coordinator for the March 2017 issue of The Leading Edge, joins Andrew Geary to discuss data analytics and machine learning in geophysics.