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 language | English (US) |
|---|---|
| Pages (from-to) | 118-124 |
| Number of pages | 7 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3453 |
| DOIs | |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Mathematical Methods in Geophysical Imaging V - San Diego, CA, United States Duration: Jul 20 1998 → Jul 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