Hélène Beucher

Quantification of Facies Relationships Via Proportion Curves

Proportions curves which were introduced at the end of the 80’s, have proved to be a powerful tool for sequence stratigraphy analysis and for quantifying lithofacies. In this paper we discuss both the qualitative and quantitative aspects via several examples coming either from analogue studies or from real oil fields.

Including a Regional Trend in Reservoir Modelling Using the Truncated Gaussian Method

When studying the geometry of petroleum reservoirs, we have to integrate different kinds of data (wells and seismic) as well as geological knowledge. Usually, wells show the fine vertical variation of lithofacies, but are less precise about horizontal variations. On the another hand, seismic data give a good idea of the horizontal evolution but we lose information on the vertical variability. A realistic reservoir model has to take this into account.

Conditional Simulation of Random Sets — Application to an Argilaceous Sandstone Reservoir

The validity of dynamic simulations carried out by reservoir engineers depends on the reservoir model used. The continuity of the reservoir layers is poorly known because of the small number of drillholes available and the distance between them. The aim of this study of an outcrop, is to develop a method for simulating the geometry of the reservoir. The sedimentological study provides an image of this outcrop with 4 lithofacies. The interpretation of this image as a realisation of random sets obtained by truncating Gaussian functions leads to a simulation process and a structural analysis method. This process is efficient provided that factorizable covariances of an exponential type, suited to describe sedimentary processes, are used. The 3-D covariance models are fitted to the data from the coredrills carried out behind the cliff. Then simulations of the whole reservoir are made.