# 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

#### 130 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

Impact of rock-physics depth trends and Markov random fields on hierarchical Bayesian lithology/fluid prediction

- Geology
- 2010

Early assessments of petroleum reservoirs are usually based on seismic data and observations in a small number of wells. Decision-making concerning the reservoir will be improved if these data can be… 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

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

Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method

- Geology
- 2012

ABSTRACTWe presented a new methodology for seismic reservoir characterization that combined advanced geostatistical methods with traditional geophysical models to provide fine-scale reservoir models… Expand

Bayesian lithology/fluid prediction and simulation on the basis of a Markov-chain prior model

- Geology
- 2006

A technique for lithology/fluid (LF) prediction and simulation from prestack seismic data is developed in a Bayesian framework. The objective is to determine the LF classes along 1D profiles through… Expand

Uncertainty quantification in seismic facies inversion

- Geology
- 2020

In seismic reservoir characterization, facies prediction from seismic data often is formulated as an inverse problem. However, the uncertainty in the parameters that control their spatial… Expand

Seismic characterization of geothermal sedimentary reservoirs: A field example from the Copenhagen area, Denmark

- Geology
- 2020

We have seismically characterized a Triassic-Jurassic deep geothermal sandstone reservoir north of Copenhagen, onshore Denmark. A suite of regional geophysical measurements, including prestack… Expand

Porosity, Fluid Discrimination And Monitoring From Prestack Seismic Data: a Case From Campos Basin, Brazil

- Geology
- 2008

We develop and apply a reservoir characterization workflow based on a single framework provided by the Bayesian method of inference. The main objective is to make inferences about porosity, lithology… Expand

Bayesian Lithology-Fluid Prediction and Simulation based on a Markov Chain Prior Model

- 2005

A technique for Lithology-Fluid prediction and simulation from prestack seismic data is developed in a Bayesian framework. The objective is to determine the Lithology-Fluid classes along 1D profiles… Expand

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