From the 1 of 31 linked papers with an AI index.
31 papers
Post-FWI Injection of Learned Priors Using a Flow Matching Model
Hao Zhang, Tariq Alkhalifah
Full Waveform Inversion (FWI) is a powerful tool for subsurface velocity reconstruction but remains highly ill-posed, sensitive to acquisition limitations, often requiring some for…
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…
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…
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…
Generative wave propagator
Shijun Cheng, Tariq Alkhalifah
Seismic wavefield simulation is fundamental to seismology, but conventional finite-difference (FD) methods remain limited by numerical dispersion and stability constraints, which o…
Mitigating cycle skipping in full waveform inversion using max-pooling-based approximate envelope and shot patching
Xinru Mu, Omar M. Saad, Shaowen Wang +1
Full waveform inversion (FWI) can produce accurate subsurface velocity models. However, the lack of sufficiently low-frequency content in field data often causes cycle skipping and…