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为使油田数据库中大量的油井地面功图数据发挥更大作用 ,提高油井的管理水平 ,提出了识别泵功图新的思路和方法 ,采用差分曲线法对大批油井功图进行自动识别处理 ,对识别出的有故障油井采用神经网络技术对故障进一步定位。经过现场应用证明 ,利用该思路和方法设计的诊断软件识别准确率高 ,大大提高了诊断工作效率 ,有很好的应用价值
In order to make a great deal of data of oil well ground metrology data in the oilfield database and improve the management level of the oil well, a new idea and method of identifying the pump mechnism is put forward, and a large number of oil well metrological charts are automatically identified and treated by differential curve method. Identified faulty wells using neural network technology to further locate the fault. After field application shows that the use of the ideas and methods of diagnostic software designed to identify the high accuracy, greatly improving the diagnostic work efficiency, and has good application value