Quasi-random migration applied to 3D West Texas CDP data

Changxi Zhou*, Gerard T. Schuster

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The quasi-random migration (QM) method is tested on 3D seismic data from West Texas. Results show that the QM images, at 1/4 subsampling of the entire data set, are about the same quality as regularly migrated (RM) images obtained from a regular 1/4 subsampling of the original data. However, it appears that there are fewer artifacts in the QM images than in the regular images. At 1/8 subsampling the QM images have moderately better quality than the corresponding RM images. Previous studies suggested that the QM images should be of much higher quality than the regularly sampled images. Our field test results did not show this to be true because the source and receiver lines were spaced more than 1300 feet apart, and so did not allow for a good quasi-random sampling of the data.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsSiamak Hassanzadeh
Pages68-76
Number of pages9
StatePublished - 1995
Externally publishedYes
EventMathematical Methods in Geophysical Imaging III - San Diego, CA, USA
Duration: Jul 12 1995Jul 13 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2571
ISSN (Print)0277-786X

Other

OtherMathematical Methods in Geophysical Imaging III
CitySan Diego, CA, USA
Period07/12/9507/13/95

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Quasi-random migration applied to 3D West Texas CDP data'. Together they form a unique fingerprint.

Cite this