Newly developed correlations for undersaturated and saturated Arabian crude oil viscosities were developed and tested using two datasets of experimental measurements. The datasets cover 71 data points of measured undersaturated viscosity (μ_{undersaturated}), pressure (P), temperature (T), bubble point pressure (P_b), gas specific gravity (γ_g), crude oil API, viscosity at bubble point pressure (μ_b) and dead oil viscosity (μ_d) and 79 data points of saturated viscosity (μ_saturated), pressure (P), temperature (T), bubble point pressure (P_b), gas specific gravity (γ_g), crude oil API, viscosity at bubble point pressure (μ_b) and dead oil viscosity (μ_d), gas–oil ratio (GOR) and gas solubility (R_s). The viscosity models were developed utilizing 80% of the datasets using forward step-wise regression method. The selection of the independent variables was carried out using graphical alternating conditional expectation program (GRACE), a nonparametric regression method, which produce and generate plots for the optimal transformation of the dependent and independent variables. The program also performs low- and high-degree polynomial curve fit up to six-degree polynomial to create the desired model. The models’ accuracy was validated using the rest of the datasets, and their efficiency was tested against some commonly used correlations utilizing average absolute relative error, average relative error and cross plots. The developed models proved to be very efficient and they accurately predicted the experimental undersaturated and saturated crudes viscosities with average absolute relative errors of 1.79% and 5.89%, respectively.

使用两个实验测量数据集开发并测试了新开发的不饱和和饱和阿拉伯原油粘度的相关性。数据集包括测量欠粘度（71个数据点μ_欠饱和），压力（P），温度（Ť），泡点压力（P _b），气体比重（γ_克在泡点压力），原油的API，粘度（μ _b）和死油粘度（μ _d）和饱和粘度（79个数据点μ_饱和），压力（P），温度（Ť），泡点压力（P _b），气体比重（γ_克），原油的API，在泡点压力（粘度μ _b）和死油粘度（μ _d），气油比（GOR）和气体溶解度（- [R_小号）。使用正向逐步回归方法，利用80％的数据集开发了粘度模型。使用图形交替条件期望程序（GRACE）（一种非参数回归方法）进行自变量的选择，该程序会生成并生成用于对自变量和自变量进行最佳转换的图。该程序还执行低阶和高阶多项式曲线拟合，直到六阶多项式拟合以创建所需的模型。使用其余数据集验证了模型的准确性，并使用平均绝对相对误差，平均相对误差和交叉图针对一些常用的相关性对模型的效率进行了测试。