DLP Webinar: Exploiting the richness of multi-component data: a time-dependent polarization-based FWI approach
| Instructor: | Dr. Serge Sambolian |
|---|---|
| Duration: | 30 min + Q&A |
| Discipline: | Geophysics |
| Main topics: | Seismic Imaging, Velocity Model Building, Waveform Inversion |
| Language: | English |
Next Delivery: 25 October 2024, 12:00 PM CEST
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Full waveform inversion is the most resolving seismic imaging method. Through a nonlinear data-fitting procedure of seismic waveforms, accurate and highly-resolved subsurface parameters models are derived. In the case of multi-component data, recorded through directional sensors, the data are often treated in uncorrelated manner. In fact, the correlation between the directional recordings could be exploited to complement the conventional approach or remedy against some of its short-comings. In this lecture, polarization-based approaches are presented and assessed against conventional multi-component FWI.
Participants' Profile
Geophysicists interested in FWI or multi-component data processing
About the Lecturer
Serge Sambolian is currently a postdoctoral fellow at Université Grenoble Alpes (France). Serge interests revolve around inverse problems in the context of seismic, particularly slope tomography and full waveform inversion. He holds a PhD degree in geophysics
from Université Côte d’Azur (France).