New models to predict the viscosity of extra-heavy oil in colombian fields

Mauricio Pertuz-Parra, Gian Pino-Tarazona, John-Alexander León-Pabón, C. Pérez-Reyes, Carlos-Andrés Díaz-Prada
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引用次数: 1

Abstract

Viscosity is one of the fundamental properties of fluids in calculating the pressure drop of fluid flow through pipes or porous media. It is also highly relevant in interpreting production tests, hydrocarbon transport and the analysis of problems that may arise in the well. This paper introduces an adjustment to the De Ghetto viscosity model in order to accurately predict the viscosity of undersaturated extra-heavy oil. The adjustment of the De Ghetto model for undersaturated extra-heavy oil has been developed using a database of PVT analysis of extra-heavy oil to assess the accuracy of the models published in literature. Subsequently, by using statistical analysis and regression techniques, the models with the best approximation to the values of the PVT reports were adjusted, thus resulting in two models with absolute average error rates of 4.69 and 2.42%. These rates are valid for oils with API gravities ranging from 6.5 to 9.5, in order to accurately predict the viscosity of undersaturated extra-heavy oils.
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哥伦比亚油田超稠油粘度预测新模型
在计算流体流过管道或多孔介质的压降时,粘度是流体的基本性质之一。它还与解释生产测试、油气运移和分析井中可能出现的问题高度相关。为了准确预测欠饱和特稠油的粘度,本文对De Ghetto粘度模型进行了调整。利用超稠油PVT分析数据库,对未饱和超稠油的De Ghetto模型进行了调整,以评估文献中发表的模型的准确性。随后,通过统计分析和回归技术,对最接近PVT报告值的模型进行调整,得到绝对平均错误率分别为4.69和2.42%的两个模型。这些速率适用于API比重为6.5 ~ 9.5的原油,可以准确预测不饱和特稠油的粘度。
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