# Improved resolution in Bayesian lithology/fluid inversion from prestack seismic data and well observations: Part 1 — Methodology

@article{Ulvmoen2010ImprovedRI, title={Improved resolution in Bayesian lithology/fluid inversion from prestack seismic data and well observations: Part 1 — Methodology}, author={Marit Ulvmoen and Henning Omre}, journal={Geophysics}, year={2010}, volume={75} }

The focus of our study is lithology/fluid inversion with spatial coupling from prestack seismic amplitude variation with offset (AVO) data and well observations. The inversion is defined in a Bayesian setting where the complete solution is the posterior model. The prior model for the lithology/fluid (LF) characteristics is defined as a profile Markov random-field model with lateral continuity. Each vertical profile is further given as an inhomogeneous Markov-chain model upward through the… Expand

#### 90 Citations

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Improved resolution in Bayesian lithology/fluid inversion from prestack seismic data and well observations: Part 2 — Real case study

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We have performed lithology/fluid inversion based on prestack seismic data and well observations from a gas reservoir offshore Norway. The prior profile Markov random field model captures horizontal… Expand

Bayesian lithology/fluid inversion—comparison of two algorithms

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Algorithms for inversion of seismic prestack AVO data into lithology-fluid classes in a vertical profile are evaluated and it is concluded that the approximate likelihood model preserves 50% to 90% of the information content in the exact likelihood model. Expand

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