Abstract
We propose a simultaneous Joint Migration and Inversion (SJMI) method for time-lapse migration/inversion, which combines a joint time-lapse data processing strategy with the Joint Migration and Inversion (JMI) method, and also extend it to include an L1-norm sparsity constraint on the reflectivity model-difference in a suitable transform domain and a total-variation (TV) edge-preserving constraint on the velocity model-difference. We tested the proposed method with two synthetic examples, from which it is shown that our method is effective, even when the datasets contain strong noise, are generated by different acquisitions, and also contain a strongly scattering overburden.
| Original language | English |
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| Title of host publication | 78th EAGE Conference and Exhibition 2016, Vienna, Austria |
| Subtitle of host publication | Efficient Use of Technology - Unlocking Potential |
| Editors | Gary Ingram |
| Pages | 1-5 |
| Publication status | Published - 2016 |
| Event | 78th EAGE Conference and Exhibition 2016 - Messe Wien, Exhibition and Congress Center, Vienna, Austria Duration: 30 May 2016 → 2 Jun 2016 Conference number: 78 http://www.eage.org/sitecore/content/events/home/2016/78th-eage-conference-and-exhibition-vienna-2016?sc_lang=en |
Conference
| Conference | 78th EAGE Conference and Exhibition 2016 |
|---|---|
| Abbreviated title | EAGE 2016 |
| Country/Territory | Austria |
| City | Vienna |
| Period | 30/05/16 → 2/06/16 |
| Internet address |