Podcast Tag: rock physics

Episode 193: The potency of rock-physics-guided deep neural networks

Fabien Allo highlights his award-winning article, “Characterization of a carbonate geothermal reservoir using rock-physics-guided deep neural networks.” 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. This episode is an exciting opportunity to hear directly from an award-winning author on some of today’s most cutting-edge geophysics tools.

Episode 129: Improving and reducing biases with a novel theory

Henning Hoeber discusses a new tool for rock physics in his recent paper published in September’s The Leading Edge. In this episode, Henning explains the theory of omitted variable bias (OVB) and its connection to rock physics, why OVB hasn’t appeared before in the geoscience literature, how OVB helps geophysicists understand biases in models, the real-world implications for improving a bias model, and how he will apply OVB to his future research.  Seismic Soundoff · 129:

Episode 126: The value and benefits of simplicity with Jack Dvorkin

Jack Dvorkin highlights his upcoming Honorary Lecture, “Modern Rock Physics – Challenges and Solutions.” Jack explains why some scientists have embraced unnecessary complexity, the best way to generate new scientific questions, the first step to embrace simplicity, and possible consequences if rock physics continues to trend towards complexity.  Seismic Soundoff · 127: The value and benefits of simplicity with Jack Dvorkin Related links Biography Jack Dvorkin is the program leader of the Rock Science Program at

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