应用支持向量回归预测胶凝原油启动屈服应力

Prediction of start-up yield stress of gelled crude oil by support vector regression

启动屈服应力的影响因素很多,且呈现复杂的非线性关系。以室内管流实验数据为基础,分析了启动屈服应力随启动温度、启动流量、静态温降幅度和停输时间的变化规律,并应用支持向量回归方法得到预测胶凝原油管道启动屈服应力的计算公式。预测值与实测值的对比结果验证了计算公式的可靠性。

The start-up yield stress of gelled crude oil is affected by many factors such as start-up temperature, start-up flow rate, temperature drop and shutdown duration. Support vector regression （SVR） is a common and efficient technique for nonlinear multivariate analysis. Based on the data collected on the experimental loop for oil rheological property research, the start-up properties of gelled crude oil were studied under different start-up temperatures, start-up flow rates, temperature drops during shutdown period and shutdown durations. In addition, the SVR method was applied to the experimental data, and a new formula with improved precision was obtained to predict the start-up yield stress of gelled crude oil. The contrast result between the prediction value and the measured data validated the reliability of the formula.