| Autor: |
Jinjun Liu, Marta Woodward, Can Evren Yarman, Konstantin Osypov, Antoun Salama, Randolph E.F. Pepper, Eric Frugier Dorrington, Jun Tang, Samuel Madden, Yi Yang, Amr El Sabaa, Anna Klebleeva, Hans Kristian Helgesen, Aimé Fournier |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
SEG Technical Program Expanded Abstracts 2013. |
| DOI: |
10.1190/segam2013-1243.1 |
| Popis: |
Summary Subsalt imaging has been a challenge for Gulf of Mexico (GoM) exploration, mostly due to the complexity of salt geometry and high salt-sediment velocity contrast. In addition to these, the presence of inclusions within the salt, also referred to as dirty salt, presents an additional significant challenge in subsalt imaging. Following a systematic study with synthetic datasets, we propose a new method for automatically determining the dirty salt geometry, and a further consolidated constrained iterative dirty salt velocity model building flow. We applied this workflow on a real GoM dataset and demonstrate its effectiveness by presenting an improved subsalt image. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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