Seismic interferometry facilitating the imaging of shallow seismic reflectors hidden beneath surface waves

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


High-resolution reflection seismics can be very helpful in subsurface imaging and monitoring in urban environments and in archaeological sites. An obstacle that hinders the success of high-resolution reflection seismic imaging of the very shallow targets is the presence of source-generated surface waves at soil-covered sites and surface waves generated by other anthrogenic sources, e.g., traffic and construction activities in the vicinity of the seismic line. Both of these can hide the very shallow reflection events. We have developed new schemes involving seismic interferometry (SI) to retrieve both source-coherent (and/or source-incoherent) surface waves part of data. The retrieved surface waves are then adaptively subtracted from the raw data, thereby exposing hidden reflections. We illustrate results on both synthetic and field seismic data. We show that artefacts caused by stacking the surface-wave noise are greatly reduced, and that reflectors, especially at very shallow depth, can be much better imaged and interpreted.
Original languageEnglish
Title of host publicationSEG Technical Program Expanded Abstracts 2018
Subtitle of host publication14-19 October 2018, Anaheim, United States
Publication statusPublished - 2018
EventSEG Annual Meeting 2018 - Anaheim convention Center, Anaheim, United States
Duration: 14 Oct 201819 Oct 2018
Conference number: 88

Publication series

NameSEG Technical Program Expanded Abstracts 2018
ISSN (Electronic)1949-4645


OtherSEG Annual Meeting 2018
Abbreviated titleSEG 2018
Country/TerritoryUnited States
Internet address


  • near surface
  • shear wave (S-wave)
  • adaptive subtraction
  • crosscorrelation
  • 2D


Dive into the research topics of 'Seismic interferometry facilitating the imaging of shallow seismic reflectors hidden beneath surface waves'. Together they form a unique fingerprint.

Cite this