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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…
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
Jing Sun, Tiexing Wang, Eric Verschuur +1
In recent years, deep learning (DL) has emerged as a promising alternative approach for various seismic processing tasks, including primary estimation (or multiple elimination), a…
Laterally constrained low-rank seismic data completion via cyclic-shear transform
David Vargas, Ivan Vasconcelos, Nick Luiken +1
A crucial step in seismic data processing consists in reconstructing the wavefields at spatial locations where faulty or absent sources and/or receivers result in missing data. Sev…