Paolo Dell’Aversana highlights his article in The Leading Edge, discussing a dual-sensory approach to understanding seismic. Based on concepts well-established in cognitive sciences, Paolo introduces the idea of expanded imaging in geophysics, using a dual-sensory (audiovisual) perception of a data set. In this episode, Paolo explains the basic principles of multimodal seismic data analysis using augmented imaging theory. He shares the advantages and limitations of converting seismic data into an auditory format and outlines how geophysicists can start with this approach today. This episode unlocks secret information hiding in your seismic data waiting to be discovered.
Felix J. Herrmann discusses his open-access article, “Learned multiphysics inversion with differentiable programming and machine learning.” He shares why the future of the oil and gas industry depends on the democratization of technology design. He provides insights into why modernizing wave-equation inversion frameworks is important to geophysics and shares the implications for the results of his study. This episode provides a glimpse into the future capabilities of machine learning to help provide the path for the next great discoveries in geophysics.