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Modeling viscosity of moderate and light dead oils in the presence of complex aromatic structure

机译:复合芳族结构存在下适度和轻死油的粘度

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摘要

Crude oil viscosity measurements are very crucial in the field of petroleum industries. Difficulties associated with obtaining accurate measured viscosity values for reservoir oils have turned the light to estimate viscosity through empirical correlations to alleviate these laboratory difficulties. This work is a supplementary study for a previous research work, done on Egyptian heavy crude oil samples, to cover all types of reservoir oils. The proposed work started with evaluating the previously published viscosity correlations that considered as a useful method to provide preliminary values for viscous oil reservoirs characterization. The obtained viscosity values showed poor performance of applying these correlations, as these correlations depend only on oil specific gravity and operating temperature. Therefore, there is a need for correlating a new effective viscosity model using asphaltene content as one of the main representative parameters. Asphaltene is considered as a complex aromatic structure which causes problems in reservoir oils. In this work, laboratory measurements have been made on five-hundred database points of Egyptian moderate and light dead oil samples obtained from different locations to build accurate viscosity correlation model. The best fit accurate empirical correlation has been found using multiple least-square nonlinear regression analysis for ranges of viscosity measurements from 23.06 to 43.18 (omicron)API. Testing of the new proposed viscosity model, with another set of laboratory measured viscosity data, shows high performance and accuracy in predicting Egyptian moderate and light dead crude oils viscosity as compared with literature viscosity correlations.
机译:原油粘度测量在石油工业领域非常重要。与获得储层油的准确测量粘度值相关的困难使光通过经验相关性来估计粘度,以缓解这些实验室困难。这项工作是对先前研究工作的补充研究,在埃及大型原油样品上完成,涵盖了所有类型的储层油。所提出的工作开始评估先前公布的粘度相关性,被认为是提供粘性油藏表征的初步值的有用方法。所得粘度值表明,施加这些相关性的性能差,因为这些相关性仅取决于油比重力和操作温度。因此,需要使用沥青质含量作为主要代表参数之一来将新的有效粘度模型相关联。沥青质被认为是一种复杂的芳族结构,导致储层油中的问题。在这项工作中,已经在从不同地点获得的埃及中等和光死的水样的五百个数据库点进行实验室测量以构建精确的粘度相关模型。使用来自23.06至43.18(omicron)API的粘度测量范围的多个最小二乘非线性回归分析,找到了最佳的精确经验相关性。测试新的粘度模型,具有另一套实验室测量的粘度数据,表现出高性能和准确性,以预测埃及中等和轻度死原油粘度与文献粘度相关相比。

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