Seminar: The Use of Machine Learning in Geophysical Problems
Event Details:
- Date: Wednesday, 27 March 2024
- Time: Starts: 12:00
- Venue: This seminar is held as a hybrid event. You are welcome to join us at the Andreas Mouskos Auditorium, José Mariano Gago Hall, The Cyprus Institute.
Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1) - Speaker: Dr Eric Verschuur, Associate Professor, Delft University of Technology, Netherlands
CaSToRC, the HPC National Competence Centre, invites you to a joint ENGAGE-EuroCC2 seminar
The Use of Machine Learning in Geophysical Problems
Abstract
Geophysical inverse problems usually go hand in hand with large datasets, either active – using acoustic sources – or passive – by listening to the Earth’s noise or signals (e.g. earthquakes). Many of the involved modeling, processing and inversion steps can be aided by machine learning (ML), usually for two reasons: (1) ML algorithms can achieve results that are difficult to obtain with deterministic methods or (2) ML algorithms can achieve similar results as with deterministic methods, but more efficiently.
Typical examples are reconstruction of missing or sparsely measured data, forward modeling of seismic waves, transformation of seismic amplitudes into rock properties or geologic interpretation of seismic sections.
In this presentation some of these applications are highlighted and an outlook for the next decade is given.
About the Speaker
Eric Verschuur received his M.Sc. degree in 1986 and his Ph.D degree (honors) in 1991 from Delft University of Technology (TU Delft), both in Applied Physics. His Ph.D. thesis focused on the surface-related multiple elimination (SRME) methodology.
EuroCC-2 is funded by the European Union and the Republic of Cyprus. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia under grant agreement No 101101903.
ENGAGE is partly funded by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie COFUND scheme with grant agreement No. 101034267.
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Additional Info
- Date: Wednesday, 27 March 2024
- Time: Starts: 12:00
- Speaker: Dr Eric Verschuur, Associate Professor, Delft University of Technology, Netherlands
