Prediction method of water content ratio of crude oil based on optimized artificial neural network
基于优化神经网络预报的原油含水率测量

On-line density method has a strong practical value in water content ratio measurement of crude oil,but the shortcoming is that the greater volatility of measurement error is affected by the uncertain factors in the field.In order to improve the accuracy of water content ratio and stability,the back-propagation neural network is used in density mathematical method of calculating water content.For the algorithm convergence speed is slow and easily get into the local minimum points,it is proposed simulated an...