# Bayesian lithology and fluid prediction from seismic prestack data

@article{Buland2008BayesianLA, title={Bayesian lithology and fluid prediction from seismic prestack data}, author={A. Buland and O. Kolbj{\o}rnsen and R. Hauge and {\O}. Skj{\ae}veland and K. Duffaut}, journal={Geophysics}, year={2008}, volume={73} }

A fast Bayesian inversion method for 3D lithology and fluid prediction from prestack seismic data, and a corresponding feasibility analysis were developed and tested on a real data set. The objective of the inversion is to find the probabilities for different lithology-fluid classes from seismic data and geologic knowledge. The method combines stochastic rock physics relations between the elastic parameters and the different lithology-fluid classes with the results from a fast Bayesian seismic… Expand

#### 92 Citations

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

- Geology
- 2010

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… Expand

Bayesian lithology – fluid inversion-algorithm efficiency

- 2009

Algorithms for inversion of seismic prestack AVO data into lithology-fluid classes in a vertical profile are evaluated. The inversion is defined in a Bayesian setting where the prior model for the… Expand

Bayesian lithology/fluid inversion—comparison of two algorithms

- Mathematics, Computer Science
- 2010

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

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

- Geology
- 2010

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

Joint elastic and petrophysical inversion using prestack seismic and well log data

- 2015

Seismic inverse problems aim to infer the properties of subsurface geology, such as elastic and petrophysical properties. Existing seismic inversion methods for the joint estimation of these… Expand

Hierarchical Bayesian lithology/fluid prediction: A North Sea case study

- Geology
- 2012

Seismic 3D amplitude variation with offset (AVO) data from the Alvheim field in the North Sea are inverted into lithology/fluid classes, elastic properties, and porosity. Lithology/fluid maps over… Expand

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

- 2010

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

Probabilistic lithofacies prediction from prestack seismic data in a heterogeneous carbonate reservoir

- Geology
- 2014

ABSTRACTWe mapped probabilities of lithology and fluid based on seismic and well observations in a heterogeneous carbonate reservoir of the Sichuan Basin, southwest China, thus characterizing the… Expand

Geostatistical inversion of prestack seismic data for the joint estimation of facies and impedances using stochastic sampling from Gaussian mixture posterior distributions

- Geology
- 2017

ABSTRACTWe have developed a seismic inversion method for the joint estimation of facies and elastic properties from prestack seismic data based on a geostatistical approach. The objectives of our… Expand

Fast probabilistic petrophysical mapping of reservoirs from 3D seismic data

- Geology
- 2012

ABSTRACTA fast probabilistic inversion method for 3D petrophysical property prediction from inverted prestack seismic data has been developed and tested on a real data set. The inversion objective is… Expand

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