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Generative AI and Diffusion Models in Geophysics: A Survey

2026-06-30

Abstract excerpt

Generative modeling has become a practical prior family in geophysics, with score-based and diffusion models now used for seismic processing, inversion, subsurface monitoring, digital rock physics, well-log synthesis, and benchmark-driven reproducibility. Diffusion is best read as a restoration and posterior-sampling prior whose value depends on forward-model consistency, benchmark design, baseline coverage, and e...

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Literature Corpus work
852b0629-2b24-57f4-8b2b-39a887b1157c
DOI
10.20944/preprints202606.2101.v1
Open publication

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