234: How AI is Being Applied to Seismic Interpretation
"We are trying to enable the geoscientists to do their work better and faster."
In this episode, we explore the use of artificial intelligence (AI) in seismic interpretation, focusing on the advantages of a data-centric approach over the traditional model-centric method. Morten Ofstad, a computer scientist, emphasizes the limitations of pre-trained "black box" deep learning models and advocates for interactive deep learning to improve interpretation accuracy. The discussion highlights VDS, a data format designed for random access and compression, and emphasizes the importance of empowering geoscientists to interact directly with AI-driven interpretation processes.
In this episode, we explore the use of artificial intelligence (AI) in seismic interpretation, focusing on the advantages of a data-centric approach over the traditional model-centric method. Morten Ofstad, a computer scientist, emphasizes the limitations of pre-trained "black box" deep learning models and advocates for interactive deep learning to improve interpretation accuracy. The discussion highlights VDS, a data format designed for random access and compression, and emphasizes the importance of empowering geoscientists to interact directly with AI-driven interpretation processes.