This paper proposes to evaluate the reservoir characterization of a mature field using advanced geostatistical techniques. In the reservoir characterization process, the lithologic modeling is an essential stage because it will be work as a framework for petrophysical modeling. The objective of this work is to study the impact of the lithotype rule on the connected facies volume through the plurigaussian algorithm. The interesting advantage for the PGS is the rule function, in this paper we analyze different lithotypes rule and their impact on the volume through the connectivity study using the Hoshen-Kopelman algorithm. As results, it was possible to note that the plurigaussian simulation algorithm presented a good capacity to reproduce the initial reservoir characteristics because it respect the lithofacies proportion, proportion matrix and the lithotype rule and was possible noted too that the lithotype rule present a important constrained to the simulation method. In the continuation of this study we can fill the model with the petrophysical properties and saturation data and observed in fluid flow simulation the impact of the lithologic modeling in reservoir characterization processes.

Keywords:
reservoir facies, lithotype rule 1, simulation, geological modeling, lithotype rule 2, realization, proportion matrix, gaussian random function, artificial intelligence, lithotype rule
Subjects:
Reservoir Characterization, Reservoir Simulation, Geologic modeling, Construction of static models
Copyright 2005, Society of Petroleum Engineers
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