Prediction of the Viscosity-Temperature Dependence of a Mixture of Oils Based on Information about the Density, Content of Paraffin, Resins, Asphaltenes and Fractional Composition

The article is devoted to the problem of predicting the viscosity of an oil mixture. Viscosity is an important characteristic of oil when calculating pressure losses due to friction when moving in a well, through field pipelines, through a network of main oil pipelines. In the presence of a complex branched network of pipelines and the flow of oil from various wells and fields in the condition of constantly changing production flow rates, a large number of mixture variants can be formed. Laboratory determination of viscosity for each theoretically possible mixture is practically difficult to implement, therefore, it is promising to determine the viscosity of the mixture by a computational method based on parameters amenable to additivity. Such parameters can be density, component composition and its derivatives, such as the content of paraffins, resins, asphaltenes, and fractional composition. The article analyzes various regressions of the first and second kind to obtain equations for determining viscosity depending on the mentioned parameters. A model is being developed to predict the viscosity-temperature dependence of an oil mixture based on information on density, paraffin content, resins, asphaltenes and fractional composition. The results can be applied to the calculation of field and trunk oil pipeline networks.