混合原油粘温数学模型的最优化研究

根据哈萨克斯坦混合原油实测粘度、温度、混合比例的特点，建立了混合原油的粘度随温度、混合比例变化的数学模型，采用微粒群算法对混合原油的粘温数学模型进行了求解。三个算例的建模、解模过程表明，该优化方法能快速搜索到模型的最优回归参数。为使所建模型应用范围更宽，拟合精度更高，提出了应深入研究混合原油粘温数学模型的形式和与之相适应的解模优化方法。

The Optimization Study of Commingled Crude's Viscosity-temperature Mathematical Model

According to the characteristic of actual measurement viscosity,temperature and blending ratio of Kazakhstan's crude oil,a mathematical model that viscosity changes along with temperature and blending ratio is established.Meanwhile Particle Swarm Optimization is adopted to compute the viscosity- temperature of the mathematical model.It id indicated that the optimization method can quickly search the optimal regression parameters of the model through establishing and computing of the three algorithm examples.It is pointed out that the form of commingled crude's viscosity-temperature mathematical model should be further studied to find out a suitable optimization method for model computation for the purpose of making wider range of model application and higher fitting accuracy.