Migration deconvolution

Jianxing Hu*, Gerard T. Schuster

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

27 Scopus citations


Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. For 3-D data, these traces, typically, are spatially undersampled and so give rise to migration noise sometimes known as the "acquisition footprint". In this paper, we show how to partly deconvolve the acquisition footprint noise from migration sections. This is accomplished by spectrally dividing the migration section by the migration Green's function, subject to the assumption of a laterally homogeneous velocity. Results with synthetic and field data show that migration deconvolution can noticeably improve the spatial resolution of migration images, decrease the strength of migration artifacts and improve the quality of the migration image.

Original languageEnglish (US)
Pages (from-to)118-124
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1998
Externally publishedYes
EventMathematical Methods in Geophysical Imaging V - San Diego, CA, United States
Duration: Jul 20 1998Jul 21 1998


  • Acquisition footprint
  • Deconvolution
  • Green's function
  • Migration

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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