The Prediction of Cloud Point Temperature: In Wax Deposition

Abstract

Abstract The main object of this paper is to evaluate and discuss the cloud point temperature dependence on the solution nature in the crude (oil). Also, a correlation was developed for predicting the cloud point temperature in wax deposition. The cloud point temperature is an important parameter to see weather there will be precipitation or not. So, we interested on the parameters that affect the cloud point temperature of hydrocarbons. Therefore, besides literature survey, some experiments on wax/paraffin deposition have been performed and evaluated. Based on our experimental observations, the most important parameters that affect the hydrocarbon cloud point temperature are the apparent molecular weights of solution and solute, and solute weight fraction. These are the basic parameters of our developed correlation. Through the regression process different equation types have been used and a complex nonlinear poxlynomial type was selected to obtain a correlation which predicts the cloud point temperature with less than 1.0- percent error. Our developed correlation is the only analytical solution for the prediction of cloud point temperature in wax precipitation. It also works for pure alkanes. This modeled correlation is ver simple to use and less time consuming. In addition, its results are very precise and more accurate than the previous models.