Surface wave retrieval from ambient noise using multi-dimensional deconvolution

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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-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 languageEnglish
Title of host publication4th International Conference and Exhibition
Subtitle of host publicationNew Discoveries through Integration of Geosciences, Saint Petersburg 2010
PublisherEAGE
Publication statusPublished - 1 Jan 2010
Event4th International Conference and Exhibition: New Discoveries through Integration of Geosciences - Saint Petersburg, Russian Federation
Duration: 5 Apr 20108 Apr 2010

Conference

Conference4th International Conference and Exhibition: New Discoveries through Integration of Geosciences
CountryRussian Federation
CitySaint Petersburg
Period5/04/108/04/10

Fingerprint Dive into the research topics of 'Surface wave retrieval from ambient noise using multi-dimensional deconvolution'. Together they form a unique fingerprint.

Cite this