Seismic Soundoff

Fabien Allo highlights his award-winning article, "Characterization of a carbonate geothermal reservoir using rock-physics-guided deep neural networks." In this episode with host Andrew Geary, Fabien shares the potential of deep neural networks (DNNs) in integrating seismic data for reservoir characterization. He explains why DNNs have yet to be widely utilized in the energy industry and why utilizing a training set was key to this study. Fabien also details why they did not include any original wells in the final training set and the advantages of neural networks over seismic inversion. He closes with how this method of training neural networks on synthetic data might be useful beyond the application to a geothermal study. This episode is an exciting opportunity to hear directly from an award-winning author on some of today's most cutting-edge geophysics tools. Listen to the full archive at https://seg.org/podcast. RELATED LINKS * Fabien Allo, Jean-Philippe Coulon, Jean-Luc Formento, Romain Reboul, Laure