Seismic Soundoff

"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 talk about: > The differences between model-centric and data-centric approaches to AI in seismic interpretation. > The limitations of "black box" deep learning models in seismic interpretation and how an interactive approach can improve accuracy and insights. > The importance of high-quality data and accurate labels in training