Abstract
In this methodological paper, geostatistical techniques are applied to synthetic reservoir modeling in three different steps: (1) high-resolution numerical modeling of a depositional environment; (2) integration of seismic data to improve the reservoir petrophysical characterization; and (3) a probabilistic approach for assessing uncertainty in reservoir performance prediction. This study shows that, seismic data does improve the petrophysical description of the reservoir, that stochastic simulation allows evaluating the impact of the uncertainties inherent in reservoir modeling.
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Almeida, A.S., Tran, T., Ballin, P.R. (1993). An Integrated Approach to Reservoir Studies Using Stochastic Simulation Techniques. In: Soares, A. (eds) Geostatistics Tróia ’92. Quantitative Geology and Geostatistics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1739-5_30
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DOI: https://doi.org/10.1007/978-94-011-1739-5_30
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-2157-6
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