Artificial intelligence is transforming geoscience, enabling unprecedented improvements in seismic interpretation, reservoir characterization, and multi-disciplinary data integration. Traditional subsurface workflows – often slow, siloed, and constrained by manual interpretation – are being reshaped by foundation models, multi-modal learning, physics-informed neural networks, and agent-driven automation.

Recent breakthroughs in seismic foundation models (SFMs), multi-modal geoscience transformers, and generative AI have demonstrated substantial gains in speed, accuracy, and generalization across surveys. These advances mark the beginning of a new era in earth modelling: One that promises holistic, continuously updating digital twins of the subsurface.