Data matching for free-surface multiple attenuation by multidimensional deconvolution

Title

Data matching for free-surface multiple attenuation by multidimensional deconvolution

 Author

Van der Neut, J.R.
Frijlink, M.
Borselen, R.

Faculty

Civil Engineering and Geosciences

 Department

Geoscience & Engineering

 Date

2012-09-10

 Abstract

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.

 Subject

image processing
controlled source seismology
wave propagation

 To reference this document use:

http://resolver.tudelft.nl/uuid:65483e5b-d171-4c8f-88f5-5347dad5abea

 Publisher

Wiley

 Embargo date

2013-04-10

 ISSN

0956-540X

 Source

http://onlinelibrary.wiley.com/doi/10.1111/j.1365-246X.2012.05648.x/abstract

 Source

Geophysical Journal International, 191 (2), 2012

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

(c) 2012 The authors
PGS
RAS
Files
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