15 citations · 17 across the 5 of their papers we have counts for
4 papers · 1 filter
Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems
Hui Gao, Xinming Wu, Jintao Li +2
Seismic stratigraphic interpretation of shelf-edge clinothems is essential for revealing tectonic evolution, paleoclimate change, depositional dynamic conditions, and hydrocarbon g…
Geological Everything Model 3D: A Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
Yimin Dou, Xinming Wu, Nathan L Bangs +4
Understanding Earth's subsurface is critical for energy transition, natural hazard mitigation, and planetary science. Yet subsurface analysis remains fragmented, with separate mode…
On the workflow, opportunities and challenges of developing foundation model in geophysics
Hanlin Sheng, Xinming Wu, Hang Gao +4
Foundation models, as a mainstream technology in artificial intelligence, have demonstrated immense potential across various domains in recent years, particularly in handling compl…
Seismic Foundation Model (SFM): a new generation deep learning model in geophysics
Hanlin Sheng, Xinming Wu, Xu Si +3
While computer science has seen remarkable advancements in foundation models, which remain underexplored in geoscience. Addressing this gap, we introduce a workflow to develop geop…