摘要
阻抗法测原油含水率时,测量结果受温度影响很大。由于含水率与温度之间具有复杂的非线性关系,因此很难建立精确的温度补偿模型。针对该问题,建立一个BP神经网络模型,并将其用于原油含水率的测量。现场实验表明:当温度变化时,该方法提高了原油含水率的测量精度,具有一定推广价值。
In impedance crude oil watercut measuring,the result is impacted greatly by the temperature,and it is hard to describe the precise model for temperature compensation,because of the complex nonlinear relation between the watercut and the temperature.To solve the above problem,a BP artificial neural networks model was established and used in the crude oil watercut measuring.The practical experiments show that the method is effective and increases the measuring precision.
出处
《仪表技术与传感器》
CSCD
北大核心
2011年第12期24-26,共3页
Instrument Technique and Sensor
关键词
原油
含水率
BP神经网络
阻抗传感器
温度补偿
crude oil
watercut
BP neural network
impedance sensor
temperature compensation
