Full Wave Inversion Methods
Tracks
Room 2
| Wednesday, October 7, 2026 |
| 3:40 PM - 5:00 PM |
Speaker
Bruno Cucolo
Universidade de São Paulo (USP)
FWI assisted by a U-net predicted reliability map for synthetic degraded data
Dr Fabio Macelloni
Phd Student
University Of Pisa
Implicit FWI using sinusoidal representation networks: application to marine field data
Dr Sean Berti
PostDoc Researcher
University Of Pisa
iStein: Probabilistic Implicit Full-Waveform Inversion of the Viking Graben Field Dataset
Ms Louise Nsangou
Student
University Of Pisa
Robustness of Sequential Viscoacoustic Full Waveform Inversion to Data and Source Wavelet Perturbations
Chair A
Cyrille Reiser
Head of Services and Training
Sharp Reflections