4 papers
Foundation Model-Assisted Full Waveform Inversion
Mustafa Alfarhan, Matteo Ravasi, Fuqiang Chen +2
Full waveform inversion (FWI) can recover high-resolution subsurface velocity models. Conventional waveform-difference objectives, however, are vulnerable to cycle skipping when th…
A Deep Learning-based time shift objective function for Full Waveform Inversion
Mustafa Alfarhan, Fuqiang Chen, George Turkiyyah +3
Full Waveform Inversion (FWI) is a powerful technique for estimating high-resolution subsurface velocity models by minimizing the discrepancy between modeled and observed seismic d…
Reciprocity-aware adaptive tile low-rank factorization for large-scale 3D multidimensional deconvolution
Fuqiang Chen, Matteo Ravasi, David Keyes
Low-rank regularization is an effective technique for addressing ill-posed inverse problems when the unknown variable exhibits low-rank characteristics. However, global low-rank as…
Multidimensional deconvolution with shared bases
Daria Sushnikova, Matteo Ravasi, David Keyes
We address the estimation of seismic wavefields by means of Multidimensional Deconvolution (MDD) for various redatuming applications. While offering more accuracy than conventional…