Migration deconvolution vs. least squares migration

Jianhua Yu*, Gerard T. Schuster

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Both migration deconvolution (MD) and least squares migration (LSM) are capable of improving the resolution and suppress acquisition footprints in migrated images. In this paper, we investigate the relative performance of these two technologies in enhancing migration image quality, suppressing artifacts and computational efficiency. Both MD and LSM were tested on SEG/EAGE overthrust models. The results indicate that both MD and LSM improve the energy focusing and illumination of the migration images. LSM sharpens the re ection events with increasing iterations at the cost of much more increase in CPU time. In comparison, MD produces significant improvements in the spatial resolution and migration noise suppression of migration images but at a low computation cost.

Original languageEnglish (US)
Pages (from-to)1047-1050
Number of pages4
JournalSEG Technical Program Expanded Abstracts
Issue number1
StatePublished - Jan 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology


Dive into the research topics of 'Migration deconvolution vs. least squares migration'. Together they form a unique fingerprint.

Cite this