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Full-Waveform Inversion: Recent Advances and Applications

With ever increasing computational resources, full-waveform inversion (FWI) is becoming a more feasible method to study the Earth’s interior. There are, however, still many challenges that the method faces. Uncertainty quantification is an open debate, the scaling of cost with the number of modeled sources makes the usage of large datasets expensive, and probabilistic solutions are still in their infancy. The progress of FWI as an imaging method has largely been driven by increased computational resources, development of numerical wave propagation solvers and workflow software developments. FWI has the potential to greatly improve our understanding of the Earth’s subsurface, but in order to make further progress, methodological innovations are essential as they can make the progress less dependent on the available computational resources.

In this session we encourage contributions related to technological, algorithmic or other advances of FWI, as well as recent applications of the method.

Conveners
Solvi Thrastarson, ETH Zurich (soelvi.thrastarson@erdw.ethz.ch); Dirk-Philip van Herwaarden, ETH Zurich (dirkphilip.vanherwaarden@erdw.ethz.ch); Carl Tape, University of Alaska Fairbanks (ctape@alaska.edu)

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