Registration-guided least-squares waveform inversion
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 involve...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Technical Report |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Earth Resources Laboratory
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/90511 |
| _version_ | 1811087710288347136 |
|---|---|
| author | Baek, Hyoungsu Calandra, Henri Demanet, Laurent |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Baek, Hyoungsu Calandra, Henri Demanet, Laurent |
| author_sort | Baek, Hyoungsu |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:50:29Z |
| format | Technical Report |
| id | mit-1721.1/90511 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:50:29Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/905112019-04-11T09:46:10Z Registration-guided least-squares waveform inversion Baek, Hyoungsu Calandra, Henri Demanet, Laurent Massachusetts Institute of Technology. Earth Resources Laboratory FWI Inversion 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. 2014-10-02T13:00:58Z 2014-10-02T13:00:58Z 2013-01-15 Technical Report http://hdl.handle.net/1721.1/90511 en_US Earth Resources Laboratory Industry Consortia Annual Report;2013-29 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | FWI Inversion Baek, Hyoungsu Calandra, Henri Demanet, Laurent Registration-guided least-squares waveform inversion |
| title | Registration-guided least-squares waveform inversion |
| title_full | Registration-guided least-squares waveform inversion |
| title_fullStr | Registration-guided least-squares waveform inversion |
| title_full_unstemmed | Registration-guided least-squares waveform inversion |
| title_short | Registration-guided least-squares waveform inversion |
| title_sort | registration guided least squares waveform inversion |
| topic | FWI Inversion |
| url | http://hdl.handle.net/1721.1/90511 |
| work_keys_str_mv | AT baekhyoungsu registrationguidedleastsquareswaveforminversion AT calandrahenri registrationguidedleastsquareswaveforminversion AT demanetlaurent registrationguidedleastsquareswaveforminversion |