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Full Wave Inversion Methods

Tracks
Room 2
Wednesday, October 7, 2026
3:40 PM - 5:00 PM

Speaker

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Bruno Cucolo
Universidade de São Paulo (USP)

FWI assisted by a U-net predicted reliability map for synthetic degraded data

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Dr Fabio Macelloni
Phd Student
University Of Pisa

Implicit FWI using sinusoidal representation networks: application to marine field data

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Dr Sean Berti
PostDoc Researcher
University Of Pisa

iStein: Probabilistic Implicit Full-Waveform Inversion of the Viking Graben Field Dataset

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Ms Louise Nsangou
Student
University Of Pisa

Robustness of Sequential Viscoacoustic Full Waveform Inversion to Data and Source Wavelet Perturbations


Chair A

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Cyrille Reiser
Head of Services and Training
Sharp Reflections

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