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- W2022709818 abstract "ABSTRACT Fluid-flow simulation results are used extensively as reservoir performance predictions upon which to base economics for reservoir management decisions. The generation of numerical models for simulation purposes may be easily facilitated by computer-aided algorithms, regardless of the quality of data or input parameters. This study focuses on potentially erroneous conclusions deduced from simulator predictions if the simulation models are built without a sound geologic framework and the incorporation of seismic-based information. Models derived from two different correlation strategies, lithostratigraphic and chronostratigraphic, using well logs only are compared. Seismic inversions are included within the chronostratigraphic framework as a third model type. Histograms of breakthrough times indicate little difference between the well only models of either correlation strategy, whereas water displacement patterns are significantly different. Selection of the appropriate simulation results is closely tied to the reservoir management objective in question. Models which have been conditioned by the seismic pseudo-logs show substantially different results for both breakthrough and displacement distributions, and the spread or uncertainty in breakthrough estimates is greatly reduced compared to the log-only model results. A cloud transform method with correlated probability fields is introduced for stochastically estimating one model parameter (porosity) from another (impedance). This method allows incorporation of the scatter in the relationship between the two parameters (crossplot)." @default.
- W2022709818 created "2016-06-24" @default.
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- W2022709818 date "1993-10-03" @default.
- W2022709818 modified "2023-09-23" @default.
- W2022709818 title "The Importance of the Geological Model for Reservoir Characterization Using Geostatistical Techniques and the Impact on Subsequent Fluid Flow" @default.
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- W2022709818 doi "https://doi.org/10.2118/26474-ms" @default.
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