Establishing a prediction model for wax deposition in oil pipelines and mastering the main controlling factors of wax deposition are crucial for developing measures to suppress wax deposition.Through loop experiments,the effects of oil temperature,oil wall temperature difference,and flow velocity on wax deposition rate in SK pipelines were analyzed.The sensitivity of the above three influencing factors was analyzed using grey correlation analysis method;Based on the Huang Qiyu model,a prediction model for wax deposition in waxy crude oil was fitted using loop experimental data;Measures have been proposed to suppress wax deposition.The results show that the deposition rate of waxy crude oil is influenced by the temperature difference between oil walls,oil temperature,and flow rate;Three factors have an impact on the deposition rate of crude oil wax in pipelines.Only the flow rate adjustment has on-site operability,and increasing the flow rate can be used to suppress wax deposition;The model calculation shows that under the same conditions of exit temperature,the amount of wax removal during intermittent transportation decreases by 24.9%compared to continuous transportation,indicating the feasibility of intermittent transportation.The predicted wax deposition amount under two working conditions is about twice the actual wax collection amount(some wax is washed into the tank by oil flow),indicating that the established calculation model has high practical value.The research results provide a reference for the analysis of wax deposition characteristics in waxy crude oil pipelines and the formulation of wax deposition measures.
waxy crude oilloop experimentwax depositionsensitivity analysisprediction model