Abstract
Abstract Some of the current methods of geological modeling cannot imitate the order and complexity that is observed in nature. It's been recognized among the geoscientist community how a process-based modelling may facilitate a step change in reservoir building capabilities. The advantage in decoupling the grid design from the facies distribution poses a tremendous opportunity to close the gap between the static and dynamic reservoir model. A major advantage is capturing fine-scale heterogeneities (shale drape, amalgamation, etc) which are hard to capture with pixel-based techniques. The goal of process-based geological modeling is to simulate that order by generating rules. These rules make possible to create high-fidelity 3D geological models representing more realistic depositional and stratigraphic events than those that are randomly generated using conventional geostatistical techniques. In this paper we illustrate the use of surface-based modeling within a submarine-turbiditic environment and the procedure followed to deliver a dynamic model conditioned to production data. The procedure follows development of physics-based methods and rule-base stacking of events to reconcile geological complexities and uncertainties with well performance. We'll present a process combining Design of Experiments and gradient-based techniques to assimilate production data. The method generates complex geometries comparable to those observed in high resolution near-surface seismic datasets. The case under consideration is an oil field offshore Brazil developed with horizontal wells and state of the art surveillance. The proposed workflow has delivered a simulation model that has achieved a good history match to production data in the form of water cuts and pressures.
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