elastic inversion 1guided diffusion 1posterior sampling 1seismic angle-stack 1uncertainty quantification 1
From the 1 of 3 linked papers with an AI index.
3 papers
physics.geo-ph2026
Estimation of Elastic Parameters with Guidance-based Diffusion model
Anjali Dixit, Francesco Brandolin, Tariq Alkhalifah
The paper presents a guided diffusion model for inverting angle‑stack seismic data to estimate elastic parameters (P‑wave velocity, S‑wave velocity, and density), delivering sharpe…
physics.geo-ph2026
Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building
Francesco Brandolin, Tariq Alkhalifah
High-resolution velocity models are crucial for reservoir characterization and subsurface delineation. However, the band limited nature of our surface recorded data limits resoluti…
physics.geo-ph2026
Velocity Model Building and Editing with Guided Denoising Diffusion Implicit Models
Francesco Brandolin, Tariq Alkhalifah
Velocity-model building is a fundamental component of seismic imaging, yet it remains a challenging inverse problem due to limited data coverage, nonlinearity, and the need to inte…