Registration-guided least-squares waveform inversion
Name
Baek_etal_Registration_guided.pdf
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775.92 KB
Format
Adobe PDF
Checksum (MD5)
381bd997b201f21def53e7aaacaa452d
Author(s)
Baek, Hyoungsu
Calandra, Henri
Demanet, Laurent
Date Issued
January 15, 2013
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;2013-29
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 di fferent 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.
Subjects
FWI
Inversion
Persistent DSpace Link
