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Development of New Empirical Correlation forPrediction of Oil Formation Volume Factor of CrudeOil for a Major Part of Oil Fields of Upper AssamBasin

机译:预测上阿萨姆邦盆地大部分油田原油成油体积因子的新经验相关性的发展

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Empirical correlations for the prediction of reservoir fluid properties play a significant role in reservoir technology for calculating recovery efficiency and also for predicting future performance of the reservoir. Reservoir fluid properties form the basis of many petroleum engineering calculations. The evaluation of oil and gas reserves, fluid flow through porous media, multiphase flow in pipe, surface and sub-surface equipment design, and production system optimization all depend heavily on reservoir fluid properties. This paper presents a new empirical correlation to predict oil FVF of crude oils for a part of oil fields of Upper Assam basin based on available PVT data.For the present study Shammasi's (2001) correlation has been taken as reference. The best suited oil formation value factor correlation as a function of solution gas-oil ratio, stock tank oil relative density and reservoir temperature was newly developed with the help of multivariate non-linear regression technique. To check the degree of accuracy as well as performance of the newly developed correlation, error analysis are done. The results show that the developed model is better than the reference one having an absolute average relative percent error of 6.88% and average relative % error of-0.86% respectively.
机译:预测储层流体性质的经验相关性在计算采收率以及预测储层未来性能的储层技术中起着重要作用。储层流体性质构成许多石油工程计算的基础。油气储量的评估,通过多孔介质的流体流,管道中的多相流,地面和地下设备设计以及生产系统的优化都在很大程度上取决于储层的流体性质。本文基于现有的PVT数据,提供了一个新的经验相关性来预测上阿萨姆邦盆地上部分油田的原油FVF。本研究以Shammasi(2001)相关性作为参考。借助多元非线性回归技术,新开发了最适合的油层形成因子因子与溶液气油比,储罐油相对密度和储层温度的函数关系。为了检查准确性和新开发的相关性的性能,进行了误差分析。结果表明,所开发的模型优于参考模型,其绝对平均相对百分比误差为6.88%,平均相对百分比误差为-0.86%。

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