摘要
在现有示功图模式识别方法的基础上 ,运用矩特征法提取了示功图的 8个特征量 ,借助人工神经网络作为分类器 ,实现了采油工程中抽油机井示功图的自动识别。通过油田实例的检验 ,取得了较好的效果。
On the basis of available pattern recognition for dynamometer card in a pumping well, 8 characteristic parameters are extracted from the dynamometer card by means of a moment characteristic method Automatic recognition for dynamometer card is performed by using an artificial neural network as a classifier The new method is verified by checking a case history with higher efficiency in the oilfield
出处
《江汉石油学院学报》
CSCD
北大核心
2000年第3期76-78,共3页
Journal of Jianghan Petroleum Institute
关键词
抽油井
抽油机
示功图
模式识别
神经网络
试井
oil pumping well
pumping unit
dynamometer card
pattern recognition
neural network
