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…
cs.LG2025
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
Jie Chen, Hongling Chen, Jinghuai Gao +3
Seismic acoustic impedance plays a crucial role in lithological identification and subsurface structure interpretation. However, due to the inherently ill-posed nature of the inver…
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…