Generative wave propagator
Seismic wavefield simulation is fundamental to seismology, but conventional finite-difference (FD) methods remain limited by numerical dispersion and stability constraints, which often require dense spatial grids and small time steps and thereby severely limit the effectiveness of iterative inversion workflows. We introduce a conditional diffusion-based wavefield propagator that advances seismic wavefields recursively from one time step to the next. Instead of learning an unconditional data distribution of wavefield evolution, the model is conditioned by a short history of recent wavefield time steps (snapshots), the velocity model, and the wavefield time step index, allowing it to repres...
| Authors | Shijun Cheng, Tariq Alkhalifah |
|---|---|
| Primary category | physics.geo-ph |
| Published | 5 July 2026 |
| Last updated at source | 5 July 2026 |
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