Application of Levy Random Fractal Simulation Techniques in Modeling Reservoir Mechanisms in the Kuparuk River Field, North Slope, Alaska

G.C. Gaynor; E.Y. Chang; S.L. Painter

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Application of Levy Random Fractal Simulation Techniques in Modeling Reservoir Mechanisms in the Kuparuk River Field, North Slope, Alaska

机译：随机分形模拟技术在阿拉斯加州北坡库帕鲁克河田储层机理模拟中的应用

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Incorporating a suitable level of heterogeneity into reservoir simu- lations is necessary for accurate prediction of production rates and final recoveries. Spatial correlation of petrophysical properties, particularly permeability extreme, exerts a profound influence on flow underlying reservoir displacement and depletion processes. Common modeling techniques are founded on Gaussian assump- Tions for statistical distributions. Such Gaussian-based approaches Can inadequately model the permeability extreme that can domi- Nate reservoir performance. However, optimal reservoir manage- Ment strategies at the Kuparuk River Field require that significant Efforts be made to correctly model reservoir behavior.

机译：为了准确预测产量和最终采收率，必须在储层模拟中加入适当的非均质性水平。岩石物性的空间相关性，特别是极度渗透率，对油藏驱替和枯竭过程的流动产生了深远的影响。常用的建模技术基于高斯假设进行统计分布。这种基于高斯的方法可能无法对可支配油藏性能的极端渗透率建模。然而，库帕鲁克河油田的最佳油藏管理策略要求做出巨大的努力来正确地模拟油藏行为。

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《SPE Reservoir Evaluation & Engineering》 |2000年第3期|p.263-271|共9页
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G.C. Gaynor; E.Y. Chang; S.L. Painter;
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中图分类石油、天然气工业;
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Application of Levy Random Fractal Simulation Techniques in Modeling Reservoir Mechanisms in the Kuparuk River Field, North Slope, Alaska

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