Surface wave retrieval from ambient noise using multi-dimensional deconvolution

J. Van Der Neut; E. Ruigrok; D. Draganov; J. Thorbecke; J. Hunziker; K. Wapenaar

Surface wave retrieval from ambient noise using multi-dimensional deconvolution

J. Van Der Neut^*
, E. Ruigrok
, D. Draganov
, J. Thorbecke
, J. Hunziker
, K. Wapenaar

^*Corresponding author for this work

Applied Geophysics and Petrophysics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Seismic interferometry is an effective tool to retrieve surface waves between two receiver stations by cross-correlating ambient background noise over sufficiently long recording times. This method assumes an azimuthally uniform distribution of noise sources. Unfortunately this assumption is not always fulfilled in practice. If noise sources are located on one side of a receiver array only, surface waves can also be retrieved by multi-dimensional deconvolution of passive records. We show how this method can effectively correct for azimuthal variations in the noise source distribution. We do not take backscattering of the surface waves into account, but this can be overcome if wavefield decomposition is incorporated.

Original language	English
Title of host publication	4th International Conference and Exhibition
Subtitle of host publication	New Discoveries through Integration of Geosciences, Saint Petersburg 2010
Publisher	EAGE
Publication status	Published - 1 Jan 2010
Event	4th International Conference and Exhibition: New Discoveries through Integration of Geosciences - Saint Petersburg, Russia Duration: 5 Apr 2010 → 8 Apr 2010

Conference

Conference	4th International Conference and Exhibition: New Discoveries through Integration of Geosciences
Country/Territory	Russia
City	Saint Petersburg
Period	5/04/10 → 8/04/10

Cite this

@inproceedings{6a585ff5e0ad4d2ea969f6942b6ff548,

title = "Surface wave retrieval from ambient noise using multi-dimensional deconvolution",

abstract = "Seismic interferometry is an effective tool to retrieve surface waves between two receiver stations by cross-correlating ambient background noise over sufficiently long recording times. This method assumes an azimuthally uniform distribution of noise sources. Unfortunately this assumption is not always fulfilled in practice. If noise sources are located on one side of a receiver array only, surface waves can also be retrieved by multi-dimensional deconvolution of passive records. We show how this method can effectively correct for azimuthal variations in the noise source distribution. We do not take backscattering of the surface waves into account, but this can be overcome if wavefield decomposition is incorporated.",

author = "\{Van Der Neut\}, J. and E. Ruigrok and D. Draganov and J. Thorbecke and J. Hunziker and K. Wapenaar",

year = "2010",

month = jan,

day = "1",

language = "English",

booktitle = "4th International Conference and Exhibition",

publisher = "EAGE",

note = "4th International Conference and Exhibition: New Discoveries through Integration of Geosciences ; Conference date: 05-04-2010 Through 08-04-2010",

}

Van Der Neut, J, Ruigrok, E, Draganov, D , Thorbecke, J, Hunziker, J & Wapenaar, K 2010, Surface wave retrieval from ambient noise using multi-dimensional deconvolution. in 4th International Conference and Exhibition: New Discoveries through Integration of Geosciences, Saint Petersburg 2010. EAGE, 4th International Conference and Exhibition: New Discoveries through Integration of Geosciences, Saint Petersburg, Russia, 5/04/10.

Surface wave retrieval from ambient noise using multi-dimensional deconvolution. / Van Der Neut, J.; Ruigrok, E.; Draganov, D. et al.
4th International Conference and Exhibition: New Discoveries through Integration of Geosciences, Saint Petersburg 2010. EAGE, 2010.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Surface wave retrieval from ambient noise using multi-dimensional deconvolution

AU - Van Der Neut, J.

AU - Ruigrok, E.

AU - Draganov, D.

AU - Thorbecke, J.

AU - Hunziker, J.

AU - Wapenaar, K.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Seismic interferometry is an effective tool to retrieve surface waves between two receiver stations by cross-correlating ambient background noise over sufficiently long recording times. This method assumes an azimuthally uniform distribution of noise sources. Unfortunately this assumption is not always fulfilled in practice. If noise sources are located on one side of a receiver array only, surface waves can also be retrieved by multi-dimensional deconvolution of passive records. We show how this method can effectively correct for azimuthal variations in the noise source distribution. We do not take backscattering of the surface waves into account, but this can be overcome if wavefield decomposition is incorporated.

AB - Seismic interferometry is an effective tool to retrieve surface waves between two receiver stations by cross-correlating ambient background noise over sufficiently long recording times. This method assumes an azimuthally uniform distribution of noise sources. Unfortunately this assumption is not always fulfilled in practice. If noise sources are located on one side of a receiver array only, surface waves can also be retrieved by multi-dimensional deconvolution of passive records. We show how this method can effectively correct for azimuthal variations in the noise source distribution. We do not take backscattering of the surface waves into account, but this can be overcome if wavefield decomposition is incorporated.

UR - https://www.scopus.com/pages/publications/84898993224

M3 - Conference contribution

AN - SCOPUS:84898993224

BT - 4th International Conference and Exhibition

PB - EAGE

T2 - 4th International Conference and Exhibition: New Discoveries through Integration of Geosciences

Y2 - 5 April 2010 through 8 April 2010

ER -

Surface wave retrieval from ambient noise using multi-dimensional deconvolution

Abstract

Conference

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