Seismic Soundoff
255: Generative, Physics-Informed and Agentic AI in Geophysics
- Author: Vários
- Narrator: Vários
- Publisher: Podcast
- Duration: 0:28:54
- More information
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Synopsis
"We’re not replacing geophysicists; we’re giving them superpowers to analyze data faster and better." Explore the cutting-edge world of generative and physics-informed AI with Vladimir Kazei, guest editor for The Leading Edge. AI is transforming geophysics, from revolutionizing seismic imaging to pushing the boundaries of computational efficiency. Vladimir shares how these advancements reshape subsurface exploration and what this means for the industry's future. KEY TAKEAWAYS > What geophysicists can do today - AI tools are already available to assist with seismic inversion, velocity model building, and data interpretation. Geophysicists can start experimenting with these technologies now. > AI and computational efficiency - Machine learning drastically reduces processing times, allowing faster and more cost-effective subsurface analysis. > The road to adoption - Successful AI integration in geophysics depends on bridging knowledge gaps, fostering collaboration, and ensuring transparency in machine learning