Journal ArticleWISE: Full-waveform variational inference via subsurface extensionsYin, Ziyi; Orozco, Rafael; Louboutin, Mathias; Herrmann, Felix J<p>We introduce a probabilistic technique for full-waveform inversion, using variational inference and conditional normalizing flows to quantify uncertainty in migration-velocity models and its impact on imaging. Our approach integrates generative artificial intelligence with physics-informed common-image gathers, reducing reliance on accurate initial velocity models. Considered case studies demonstrate its efficacy producing realizations of migration-velocity models conditioned by the data. These models are used to quantify amplitude and positioning effects during subsequent imaging.</p>Society of Exploration Geophysicists2024-07-0110528170GEOPHYSICS894A23 to A280016-8033https://doi.org/10.1190/geo2023-0744.12203821National Science Foundation