The Apparent Viscosity of Watered Oil Based on Artificial Neural Network
The relationship between the apparent viscosity of watered oil and its water cut, temperature and shear rate is studied and the oil in Daqing Oil Field is taken as an example. The result shows that apparent viscosity of Watered Oil is the function of the temperature, water cut and shear rate. Using neural network to simulate the relationship between the apparent viscosity of watered oil and its effect factors, the formula of calculation the apparent viscosity of watered oil is established with the structure 3-10-1 ， which the input node are temperature, shear rate and water cut and the output layers node is the apparent viscosity of watered oil. In this model, temperature, shear rate and water cut are taken into account. Some experimental data as verification sample which not same as study sample is predicted using the above network predictive model and compared with the measurement value, the result shows that predicting error is no more than 3％ and the model is very precision. The study of this paper establishes a foundation for calculating precisely pipeline technological parameter.
ANN the apparent viscosity watered oil
ZHOU Shi-dong WU Zhi-min WANG Shu-li ZHAO Hui-jun
Jiangsu Key Laboratory of Oil & Gas Storage and Transportation Technology Jiangsu Polytechnic University. Changzhou Jiangsu 213016, China
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）