Felix Herrmann: Compressive sensing and sparse recovery in exploration seismology
Room:
Wisconsin Institute for Discovery (WID) 3rd floor teaching lab (room 3280). Anyone without WID access can use the special events elevator on the WID 1st floor near ALDO café” to access the 3rd floor teaching lab
Speaker Name:
Felix Herrmann
Speaker Institution:
University of British Columbia Current-day imaging and full-waveform inversion technology increasingly relies on faithful samplings and simulations of seismic wavefields. This reliance on full sampling and high-fidelity wavefield simulations strains our acquisition and processing systems and overcoming this impediment is becoming one of the main challenges faced by our industry. By using randomized dimensionality-reduction techniques, we propose a new strategy where acquisition and computational costs are no longer dictated by the sampling grid but by transform-domain compressibility. To arrive at this result, we use recent insights from stochastic optimization, statistical physics, and compressive sensing to reduce processing costs by minimizing the number of required passes through the data by carrying out the inversions on random subsets of data. By incorporating these ideas in the formulations of reverse-time migration and full waveform inversion, we are able to improve the quality of their output at reduced computational costs.
Event Date: