一种识别抽油机井示功图的新方法  

A New Method to Identify Dynamometer Card in a Pumping Well

作　　者：欧阳传湘[1] 刘一江[2] 李媚[2] 黄全喜[2] 丁连民[3] 

机构地区：[1]江汉石油学院石油工程系,湖北荆州434102 [2]中原石油勘探局,河南濮阳457001 [3]河南石油勘探局,河南南阳473132

出　　处：《江汉石油学院学报》2000年第3期76-78,共3页Journal of Jianghan Petroleum Institute

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

关 键 词：抽油井 抽油机 示功图 模式识别 神经网络 试井 

分 类 号：TE353.3[石油与天然气工程—油气田开发工程]