3 papers
physics.geo-ph2025
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations?
Xinru Mu, Omar M. Saad, Shaowen Wang +1
Full waveform inversion (FWI) iteratively updates the velocity model by minimizing the difference between observed and simulated data. Due to the high computational cost and memory…
physics.geo-ph2025
Full waveform inversion with CNN-based velocity representation extension
Xinru Mu, Omar M. Saad, Tariq Alkhalifah
Full waveform inversion (FWI) updates the velocity model by minimizing the discrepancy between observed and simulated data. However, discretization errors in numerical modeling and…
physics.geo-ph2024
Conditional Image Prior for Uncertainty Quantification in Full Waveform Inversion
Lingyun Yang, Omar M. Saad, Guochen Wu +1
Full Waveform Inversion (FWI) is a technique employed to attain a high resolution subsurface velocity model. However, FWI results are effected by the limited illumination of the mo…