The Next Decade of AI in Seismic Imaging

"Physics-based approaches are like solving a puzzle with a set of rules. Data-driven geophysics is more like giving the puzzle to a computer that can learn the rules itself."

Amine Ourabah shares how data-driven geophysics is transforming our understanding of the subsurface by combining physics with the power of machine learning. He explains how new tools, such as nimble nodes and distributed acoustic sensing, are making seismic imaging faster, cheaper, and more accessible across various industries, including oil and gas, geothermal, and carbon storage. Amine also highlights the importance of curiosity, adaptability, and simplicity in shaping the next generation of geophysicists and technologies.

Katalyst Data Management and STRYDE sponsor this episode.

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