| Popis: |
Abstract At any stage of hydrocarbon field life, well data is obviously the key parameter to build realistic 3D models of reservoir properties. Usually, reservoir models are built based on available data although it is not necessarily the optimum data for the field to be modelled. The key heterogeneity, that drives flows in the reservoir, may not have been extensively characterized by available data. The objective of this paper is to propose an approach that takes into account the geological heterogeneity early on during the study in order to anticipate appraisal requirements and optimize rock-type distribution in reservoir models. In fact, it consists of finding the critical path: a better characterization and a more rapid diagnosis. The method is illustrated based on various examples. It differs depending on whether the reservoir is still in the appraisal phase or already in production. Similarly, tools and techniques to be used are different according to the type of geological heterogeneity: sandy clastic reservoirs, fractured/karstified reservoirs, mixed reservoirs (clastics and carbonates, clastics and fractures)… In each case, different types of data are needed to characterize key heterogeneity. The diagnosis made on the cases given in the examples shows that an optimum interpretation is achieved when data is representative of the sampled medium. P. 711 |
