Autor: |
B. Deschizeaux, D. Davies, H. Hoeber, A. Khalil, M. Ibram |
Rok vydání: |
2016 |
Předmět: |
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Zdroj: |
78th EAGE Conference and Exhibition 2016. |
DOI: |
10.3997/2214-4609.201600585 |
Popis: |
Summary In time-lapse processing, independent regularization of each vintage is the typical approach. This disregards any geometrical limitations imposed by different surveys. Here we recast the regularization process as a minimization problem with model-space constraints. These constraints couple geometrical relations between surveys to improve repeatability. We also demonstrate how to solve the minimization problem using a practical and pragmatic approach. Results from a North Sea dataset show overall reduction of 4D noise, especially around less repeatable parts of the surveys including the undershoot zone. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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