Seismic interferometry (SI) is the process of retrieving new seismic responses from the cross-correlation, cross-convolution or deconvolution of existing seismic traces. When applying SI by cross-correlation (CC), one assumes a regular source distribution. For applications in the field this will not be easily achieved. For this reason, one can make use of SI by multi-dimensional deconvolution (MDD) (Wapenaar et al., 2008). This method makes use of matrices, where a row of a matrix contains responses for a fixed receiver position and variable source positions. The Green''s function is retrieved using a matrix inversion. An advantage of the MDD method is that it can compensate for irregular distribution and strength of the sources. An additional requirement of this method is that the data to be inverted need to be recorded with wide-aperture well-sampled receiver array. Contrary to this, SI by CC can be performed with recordings even at only two receivers.
Skip Nav Destination
Seismic Interferometry By Cross-correlation And By Multi-dimensional Deconvolution Using Ambient Seismic Noise Available to Purchase
Jan Thorbecke;
Jan Thorbecke
Delft University of Technology
Search for other works by this author on:
Elmer Ruigrok;
Elmer Ruigrok
Delft University of Technology
Search for other works by this author on:
Deyan Draganov;
Deyan Draganov
Delft University of Technology
Search for other works by this author on:
Joost v.d. Neut;
Joost v.d. Neut
Delft University of Technology
Search for other works by this author on:
Jürg Hunziker;
Jürg Hunziker
Delft University of Technology
Search for other works by this author on:
Kees Wapenaar
Kees Wapenaar
Delft University of Technology
Search for other works by this author on:
Paper presented at the 2009 SEG Annual Meeting, Houston, Texas, October 2009.
Paper Number:
SEG-2009-4219
Published:
October 25 2009
Citation
Thorbecke, Jan, Ruigrok, Elmer, Draganov, Deyan, Neut, Joost v.d., Hunziker, Jürg, and Kees Wapenaar. "Seismic Interferometry By Cross-correlation And By Multi-dimensional Deconvolution Using Ambient Seismic Noise." Paper presented at the 2009 SEG Annual Meeting, Houston, Texas, October 2009.
Download citation file:
Sign in
Don't already have an account? Register
Personal Account
You could not be signed in. Please check your username and password and try again.
Could not validate captcha. Please try again.
Pay-Per-View Access
$9.00
Advertisement
0
Views
Advertisement
Advertisement