Machine Learning and FWI
| Tuesday, February 8, 2022 |
| 4:30 PM - 5:50 PM |
Speaker
Dr Timo Lähivaara
University of Eastern Finland
Deep learning-based groundwater storage estimation from seismic data
4:30 PM - 4:50 PM
Mr Maximilian Trapp
Ruhr-Universität Bochum
Bayesian full waveform inversion designed for exploration during mechanized tunneling - A small-scale experiment
4:50 PM - 5:10 PM
Dr Mauricio Sacchi
Professor
University of Alberta
A Regularization by Denoising (RED) scheme for 3D FWI model updates in large-contrast media
5:10 PM - 5:30 PM
Dr Polina Zheglova
Memorial University of Mewfoundland
A target-enclosing full waveform inversion method with an interferometric objective function
5:30 PM - 5:50 PMChairperson A
Torstein Fjeldstad
Senior Researcher
Norwegian Computing Center
Chairperson B
Peter Haffinger
Co-founder and Technical Director
Delft Inversion
