Registration-Based Guided Least-Squares Waveform Inversion
Name
Demanet_Registration-guided.pdf
Size
775.94 KB
Format
Adobe PDF
Checksum (MD5)
02e1d4e1173bdea49b9882d368158882
Author(s)
Calandra, Henri
Baek, Hyoung Su
Demanet, Laurent
Date Issued
June 2013
Journal
Proceedings of the 75th EAGE Conference & Exhibition SPE EUROPEC 2013
Publisher
European Association of Geoscientists & Engineers
Citation
Baek, Hyoungsu, Henri Calandra and Laurent Demant. "Registration-Based Guided Least-Squares Waveform Inversion." 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, 10 June, 2013, London, United Kingdom, EAGE, 2013.
Version
Author's final manuscript
Abstract
Full waveform inversion with frequency sweeping cannot start from zero frequency because of the lack of low-frequency data, requiring a good starting model. We study a different iterative scheme where the notion of proximity of two traces is not the usual least-squares distance, but
instead involves registration as in image processing. In order to create transported data, we introduce a nonconvex optimization problem and solve it in a multiscale fashion from low to high frequencies. This process requires defining low-frequency augmented signals in order to seed the frequency sweep at zero frequency. Successful registrations of noisy data, and application of the new method to model velocity estimation are demonstrated. In a crosshole seismic inversion example (transmission setting), we show that the new method decreases the model velocity error
while conventional least-squares inversion converges to a spurious model.
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3997/2214-4609.20130410
