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physics.geo-ph2025
Deep learning enhanced initial model prediction in elastic FWI: application to marine streamer data
Pavel Plotnitskii, Oleg Ovcharenko, Vladimir Kazei +2
Low-frequency data are essential to constrain the low-wavenumber model components in seismic full-waveform inversion (FWI). However, due to acquisition limitations and ambient nois…
physics.geo-ph2022
Time-lapse data matching using a recurrent neural network approach
Abdullah Alali, Vladimir Kazei, Bingbing Sun +1
Time-lapse seismic data acquisition is an essential tool to monitor changes in a reservoir due to fluid injection, such as CO injection. By acquiring multiple seismic surveys i…
physics.geo-ph2022
Deep learning unflooding for robust subsalt waveform inversion
Abdullah Alali, Vladimir Kazei, Mahesh Kalita +1
Full-waveform inversion (FWI), a popular technique that promises high-resolution models, has helped in improving the salt definition in inverted velocity models. The success of the…