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LithoFormer is a Seq2Seq transformer framework for stratigraphic inference from well logs, using a PatchTST backbone with rotary positional embeddings and a multi-task head to jointly predict geological zonation and boundaries, achieving a 90% reduction in boundary error and eliminating stratigraphic order violations.
SubsurfaceGen is a GPU-accelerated generator for 3D velocity models and seismic data, releasing a dataset of 4,276 2D velocity slices and associated wavefields and shot gathers across six geological settings, aimed at advancing machine learning for full waveform inversion.