DLP Webinar Elastic full waveform inversion of DAS data: Theoretical developments and application to a VSP from a field site in Newell County, Alberta
| Instructor: | Dr. Matthew Eaid |
|---|---|
| Duration: | 40 min + Q&A |
| Discipline: | Elastic waveform inversion, distributed acoustic sensing, FWI |
| Main topics: | CCS, VSP |
| Language: | English |
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Description
Distributed acoustic sensing (DAS) is positioned to play a significant role in seismic acquisition. DAS employs optical fibers to sense strain along the tangent explored by the fiber, and data measurements therefore depend on fiber geometry. To fully leverage the data that fibers supply, we must understand (1) how the directionality influences wavefield sensitivity, and (2) how to augment algorithms, for example full waveform inversion, to incorporate DAS fiber data. In this presentation I develop methods for the inclusion of DAS data in elastic FWI, explore how fiber geometry influences wavefield sensitivity and parameter resolution in FWI, and apply the theoretical developments to a dataset from a CCS field research station.
Participants' Profile
This webinar is would align with those interested in distributed acoustic sensing, its role in seismic monitoring, and those interested in advancements for using DAS seismic data in inversion for subsurface parameter estimation.
About the Lecturer
Matt graduated from the University of Calgary in December of 2021 with a PhD in geophysics. His work focused on modeling of seismic data from arbitrarily shaped DAS fibers, and the inclusion of data supplied by DAS fibers in FWI. He now works for Chevron’s Technology Center focusing on the further development of FWI.