School Seminars and Colloquia

Bayesian Lithology-Fluid Prediction and Simulation from Pre-stack Seismic Data

Complex Systems Seminar

by Prof. Henning Omre


Institution: Norwegian University of Science and Technology Trondheim, Norway
Date: Fri 27th May 2005
Time: 10:00 AM
Location: Theatre 1, Old Geology Building

Abstract: The objective is to determine the Lithology-Fluid classes along 1D
profiles through a reservoir target zone. A stationary Markov chain prior
model is used. The likelihood model entails strong spatial coupling
related to the convolutional model. An approximation of the likelihood
model provides a posterior model which is a non-stationary Markov chain.
The posterior model can be assessed by and exact and efficient recursive
sampling algorithm. The approach is evaluated on a synthetic 1D profile
inspired by a North Sea sand stone reservoir.

The talk will contain a short summary of status in pre-stack seismic
Bayesian inversion, and discuss particular problems related to
Lithology-Fluid prediction.

For More Information: Emma Lockwood tel: 8344-1617 email: e.lockwood@ms.unimelb.edu.au