Stochastic reservoir characterization using prestack seismic data

@article{Eidsvik2004StochasticRC,
  title={Stochastic reservoir characterization using prestack seismic data},
  author={Jo Eidsvik and Per Avseth and Henning Omre and Tapan Mukerji and Gary Mavko},
  journal={Geophysics},
  year={2004},
  volume={69},
  pages={978-993}
}
Reservoir characterization must be based on information from various sources. Well observations, seismic reflection times, and seismic amplitude versus offset (AVO) attributes are integrated in this study to predict the distribution of the reservoir variables, i.e., facies and fluid filling. The prediction problem is cast in a Bayesian setting. The a priori model includes spatial coupling through Markov random field assumptions and intervariable dependencies through nonlinear relations based on… Expand
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