3 papers
physics.geo-ph2026
Multi-Condition Guided Diffusion Model for Controllable Elastic Parameter Synthesis
Hongling Chen, Qi Pang, Chuangji Meng +2
Prestack elastic parameter inversion is important for reservoir characterization and quantitative seismic interpretation. Most existing deep-learning-based methods have achieved pr…
physics.geo-ph2025
Unsupervised Posterior Sampling for Seismic Data Recovery via Score-Based Generative Priors
Chuangji Meng, Jinghuai Gao, Zongben Xu
Seismic data restoration is a fundamental task in seismic exploration, yet remains challenging under complex and unknown degradations. Traditional model-driven or task-specific lea…
physics.geo-ph2025
Generative modeling of seismic data using diffusion models and its application to multi-purpose posterior sampling for noisy inverse problems
Chuangji Meng, Jinghuai Gao, Wenting Shang +4
Geophysical inverse problems are often ill-posed and admit multiple solutions. Conventional discriminative methods typically yield a single deterministic solution, which fails to m…