TuMod, Integrated Turbidite Modelling

The best method for accurately representing the distribution of petrophysical properties within a reservoir is by representing the geometries of the facies and then populating facies bodies with petrophysical properties. Therefore, any future tools for mo delling turbidite reservoirs will need to be based upon understanding the facies and their spatial distribution. Such facies based approaches may be either geometric (conditioned to outcrop and other data) or process based. We propose an approach that wil l include both. Models will also need to include a significant stochastic component to capture the heterogeneity and uncertainty. Turbidite exploration is typically based on high quality seismic data and limited well data. Any future modelling strategy wi ll need to be able to heavily sample and utilize 3D seismic datasets; the next generation of stochastic models will sample and condition to bodies extracted from seismic data in addition to wells.