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Development of a new correlation to determine relative viscosity of heavy oils with varying asphaltene content and temperature

机译:开发一种新的相关性,以确定重油的相对粘度,改变沥青质含量和温度

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One of the important challenges in the oil industry is to transport high viscosity heavy oils through pipelines while minimizing potential transport issues due to implications of asphaltenes. After evaluation of what is available in the literature (Pal and Rhodes, 1989; Krieger and Dougherty, 1959), we have developed a new correlation for relative viscosity of heavy oils which is not only simpler with easy to obtain input data but also more accurate than the leading correlations published in the literature. For example, the proposed correlation requires the incorporation of only one fluid-specific parameter where the structure and size of unsolvated asphaltene nanoaggregate was taken based on the "Yen-Mullins" (Mullins et al., 2012) model. To check the accuracy and validity of the correlation along with the assumptions utilized, calculated values of the relative viscosity were cross-plotted against the available experimental data from the literature. The results were also compared with the results obtained from some of the leading published correlations, such as "Pal - Rhodes" (Pal and Rhodes, 1989) and "Krieger - Dougherty" (Krieger and Dougherty, 1959) correlations. The R-2 (R-squared) along with the other statistical parameters obtained for our model were shown to be superior to the other correlations considered, indicating that our correlation is able to explain the relative viscosity variations with respect to the selected parameters better than the subject set of correlations. In addition, we have also developed a methodology to predict the value of maximum packing volume fraction of asphaltene particles dispersed in deasphalted oils that can also be used in calculating the relative viscosity using "Krieger - Dougherty" (Krieger and Dougherty, 1959) and "Brouwers" (Brouwers, 2010) models.
机译:石油工业中的重要挑战之一是通过管道运输高粘度重油,同时最小化由于沥青质的影响而最小化的潜在运输问题。在评估文献中有什么可用的(Pal和Rhodes,1989; Krieger和Dougherty,1959),我们对重油的相对粘度开发了一种新的相关性,这不仅简单易于获得输入数据,而且更准确比文献中发表的主要相关性。例如,所提出的相关性需要仅掺入一种流体特异性参数,其中取得了基于“Yen-Mullins”(Mullins等,2012)模型采取了未经调化的沥青质纳纳冰格格的结构和尺寸。为了检查相关性以及所使用的假设的相关性,相对粘度的计算值以来自文献的可用实验数据交叉绘制。结果也将结果与来自一些领先的发表相关性获得的结果进行了比较,例如“Pal - Rhodes”(Pal和Rhodes,1989)和“Krieger - Dougherty”(Krieger和Dougherty,1959)相关性。与我们模型获得的其他统计参数一起被认为优于考虑的其他相关性,表明我们的相关性能够更好地解释相对于所选参数的相对粘度变化主题一组相关性。此外,我们还开发了一种方法,以预测分散在脱沥青油中的最大填充体积分数的最大填充体积分数的值,这些颗粒也可用于计算使用“克莱格 - Dougherty”(Krieger和Dougherty,1959)和“的相对粘度。 BRORWERS“(BRORWERS,2010)型号。

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