The following topics are offered as in-house seminars for the participants:

Inversion of seismic AVO-data
by  Henning Omre/ Bjørn Ursin

Repeated seismic monitoring requires the use of AVO-data in order to classify pore fluids. These data are
associated with considerable uncertainty, hence a statistical approach seems reasonable. Various Bayesian
inversion techniques will be presented and demonstrated.

Scattering-angle/azimuth common image gathers
by Bjørn Ursin

Common image gathers (CIGs) in the offset and surface azimuth domain are used extensively in migration velocity analysis and amplitude versus offset studies. If the geology is complex and the rayfield becomes multi-pathed, the quality of the CIG's deteriorates. To overcome these problems, the CIGs may instead be generated as a function of scattering-angle and azimuth at the image point.  The metodology for doing this will be presented with several case studies.

Matching of production history
by  Henning Omre

Production forecasts are crucial for reliable reservoir management. These forcasts should be based on all available
reservoir specific observations. Conditioning on production history causes particular problems. Various stochastic
approaches to history matching will be presented and demonstrated.

Front tracking for hyperbolic conservation laws - theory and numerics
by Helge Holden

Hyperbolic conservation laws are the fundamental differential equations used in modelling of fluid flow in porous media. Front tracking constitutes one method by which one can develope both numerical techniques and analytical results. The numerical methods are used in commercial packages. Both analytical results and more applied aspects will be emphasized.

Stochastic partial differential equations
by Helge Holden

It is quite common to model the lack of information conserning flow in porous media by stochastic equations, replacing quantitative information by stochastic information. This results in stochastic partial differential equations. A general framework for studying classes of such equations is provided by the so-called white noice analysis.  These techniques will be presented, and one may focus on particular types of equations.