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- W2023794621 abstract "Abstract Predicting waterflood recovery with simulation based dimensionless performance curves has advantages over the more traditional approaches in certain applications. This paper discusses the advantages of the type curve approach, how the curves are created, and how they can be applied to predict pattern and full-field performance. This technique is suitable for screening/ranking projects, and is particularly helpful when sensitivity and uncertainty analyses are necessary to improve reservoir management decisions. The dimensionless type curve methodology can be applied to many types of fields. A case study of a large, waterflooded field is presented to show how the curves are created and how they can be applied. In this field, a study of the geology and stratigraphy indicated that reservoir continuity, permeability variance, and effects of faulting were the most important drivers of recovery efficiency. Simulations were performed on 45 datasets to describe waterflood performance over the range of variation. A spreadsheet program was created to predict recovery of any description, based on interpolations of the simulation results. The dimensionless curves can be used to compare actual well performance to predicted performance, to predict full-field performance by summing well curves, and/or as the basis of an integrated evaluation tool. Using correlations to predict recoveries allows for ease of sensitivity analyses, and ease of application by casual users in an organization. This paper should benefit anyone who struggles with the task of applying simulation-based knowledge to everyday decisions when optimizing waterflood recovery." @default.
- W2023794621 created "2016-06-24" @default.
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- W2023794621 date "2001-03-26" @default.
- W2023794621 modified "2023-09-23" @default.
- W2023794621 title "Simulation Based Dimensionless Type Curves for Predicting Waterflood Recovery" @default.
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- W2023794621 doi "https://doi.org/10.2118/68839-ms" @default.
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