Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. Typically, such traces are spatially undersampled on a recording grid with limited aperture width and so give rise to migration noise sometimes referred to as the acquisition footprint. For poststack migration images, we show how to partly deconvolve the acquisition footprint by applying a deblurring filter to the migration section, where the filter is the approximate inverse to the migration Green's function. Results with synthetic and field data show that poststack 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. We conclude that migration deconvolution can be a viable alternative to some of the other postmigration processing procedures based on statistics and ad hoc parameter choices.
Bibliographical noteFunding Information:
We greatly appreciate the valuable comments and suggestions from reviewer Gary F. Margrave, an anonymous reviewer, and associate editor P. Cary. We thank Bob Heaton for the sample-varying predictive and FXY deconvolution processing of the North Sea migration image. The authors sincerely thank Gary Hoover, Phillips Petroleum Company, and other UTAM (http://utam.gg.utah.edu) sponsors for financial support of this research, including Amoco, Arco, Amerada Hess, Baker-Atlas, Conoco, Chevron, Exxon, Marathon, Mobil, Noranda, INCO, Japan National Oil Co.. and RC2. We would like to extend our appreciation to Veritas Marine Surveys for allowing us to show the Gulf of Mexico data set. We would also like to thank the following companies for allowing us to present the North Sea data results: Agip (UK) Ltd., BG EP Ltd., Centrica plc., Conoco UK Ltd., Fina Exploration Ltd., and Phillips (UK) Ltd.
ASJC Scopus subject areas
- Geochemistry and Petrology