Autor: |
Martijn Frijlink, Joost van der Neut, Roald van Borselen |
Rok vydání: |
2012 |
Předmět: |
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Zdroj: |
Geophysical Journal International. 191:743-750 |
ISSN: |
0956-540X |
DOI: |
10.1111/j.1365-246x.2012.05648.x |
Popis: |
A common strategy for surface-related multiple elimination of seismic data is to predict multiples by a convolutional model and subtract these adaptively from the input gathers. Problems can be posed by interfering multiples and primaries. Removing multiples by multidimensional deconvolution (MDD) (inversion) does not suffer from these problems. However, this approach requires data to be consistent, which is often not the case, especially not at interpolated near-offsets. A novel method is proposed to improve data consistency prior to inversion. This is done by backpropagating first-order multiples with a time-gated reference primary event and matching these with early primaries in the input gather. After data matching, multiple elimination by MDD can be applied with a deterministic inversion scheme. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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