Prestack imaging of compressed seismic data: a Monte Carlo approach
69th Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, page 1914-1917 - 1999
We analyze the depth wavefield extrapolation of a single
dataset obtained by compressing sources and shot-
gathers. Our conclusion is that, running a sequence
of M migrations, for a large class of random seismic
data compressions, the noise variance of the average
imaging condition decreases proportionally to 1/M. This
Monte Carlo approach may render 3D wavefield prestack
migration cost effective.
Références BibTex
@InProceedings{BC99a,
author = {Bonomi, E. and Cazzola, L.},
title = {Prestack imaging of compressed seismic data: a Monte Carlo approach},
booktitle = {69th Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts},
pages = {1914-1917},
year = {1999},
organization = {SEG},
address = {Houston, Texas},
keywords = {random encoding, wavefield migration, Monte Carlo imaging},
url = {https://publications.crs4.it/pubdocs/1999/BC99a},
}