Migration deconvolution

Jianxing Hu*, Gerard Schuster

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

23 Scopus citations

Abstract

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
Volume3453
DOIs
StatePublished - Dec 1 1998
EventMathematical Methods in Geophysical Imaging V - San Diego, CA, United States
Duration: Jul 20 1998Jul 21 1998

Keywords

  • 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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