Interferometric predcition and least squares subtraction of surface waves

Shuqian Dong*, Reiqing He, Gerard T. Schuster

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

65 Scopus citations


Surface waves are one of the main types of coherent noise in land seismic surveys, and standard filtering methods, such as f-k filtering, are not always effective. We describe an interferometric method for predicting surface waves and their removal from raw seismic data by a least squares matching filter. The interferometric method enables the prediction of surface waves by using crosscorrelation between two different traces. Compared to other surface wave filtering methods, the interferometric method can "naturally" predict surface waves from other shot gathers without the use of an a priori velocity model. A land seismic field data contaminated by high energy surface waves is used to test the effectiveness of the interferometric prediction and subtraction strategies. Preliminary results with a single data set suggest that surface waves can be predicted and mostly attenuated by this method.

Original languageEnglish (US)
Pages (from-to)2783-2786
Number of pages4
JournalSEG Technical Program Expanded Abstracts
Issue number1
StatePublished - Jan 2006
Externally publishedYes

ASJC Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology


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