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Quantifying uncertainty in reservoir performance using streamtubes

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Abstract

We present the use of a streamtube approach to study the uncertainty in reservoir performance resulting from a stochastic description of the flow domain. The streamtube technique is an efficient numerical method which is particularly effective for modeling convective displacements that are dominated by large-scale heterogeneities. Stable, numerical-diffusion-free solutions can be obtained in a fraction of the time taken by conventional finite difference simulators, thereby allowing a statistical approach to reservoir simulation and forecasting.

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Authors and Affiliations

  1. Department of Petroleum Engineering, Stanford University, 94305-2220, Stanford, California

    Marco R. Thiele, Srinivas E. Rao & Martin J. Blunt

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  1. Marco R. Thiele
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  2. Srinivas E. Rao
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  3. Martin J. Blunt
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Thiele, M.R., Rao, S.E. & Blunt, M.J. Quantifying uncertainty in reservoir performance using streamtubes. Math Geol 28, 843–856 (1996). https://doi.org/10.1007/BF02066004

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  • DOI: https://doi.org/10.1007/BF02066004

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