Controllable Seismic Velocity Synthesis Using Generative Diffusion Models

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 3
• Main Authors: Wang, Fu, Huang, Xinquan, Alkhalifah, Tariq
• Format: Journal Article
• Language: English
• Published: 01.09.2024
• Subjects: diffusion models; geological priors; machine learning; velocity generation

Accurate seismic velocity estimations are vital to understanding Earth's subsurface structures, assessing natural resources, and evaluating seismic hazards. Machine learning‐based inversion algorithms have shown promising performance in regional (i.e., for exploration) and global velocity estim...