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Prestack imaging of compressed seismic data: a Monte Carlo approach

Ernesto Bonomi, Luca Cazzola
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.

BibTex references

@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          = {http://publications.crs4.it/pubdocs/1999/BC99a},
}

Other publications in the database

» Ernesto Bonomi
» Luca Cazzola