Crude oil's wax deposition experimentation was be done using experimentation pipe and Daqing crude oil was taken as an example. The wax deposition velocity model, that is, the relationship between the wax deposition velocity and cut stress of pipeline wall, temperature grads of pipeline wall, wax molecule thickness grads of pipeline wall and viscidity of crude oil, is studied. Using neural network to simulate the relationship between the wax deposition velocity and its effect factors, the wax deposition velocity model is established with the structure 4-7-1.Using this network model to predict wax deposition velocity, the result shows that predicting error is no more than 2% and the model is very precision. The study result of this paper establishes a foundation for calculating precisely pipeline wax deposition velocity and further research on oil wax deposition rule.
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