In the pipeline operation, the phenomenon of wax deposition often occurs, which will lead to the reduction of the volume of transmission and even the occurrence of condensation accident. For Songshan⁃Huludao thermal insulation crude oil pipeline conveying Qingji mixed oil, a self⁃made indoor thermal insulation ring experimental device wasdeveloped, and a stepwise regression model and a support vector machine model of wax deposition rate were established. The results of comparison and verification showed that the stability and accuracy of the support vector machine model were higher than that of the stepwise regression model. The wax deposition rate model was used to predict the wax deposition in different seasons, which provided a theoretical basis for the determination of the optimal paraffin removal period.