基于电功图的皮带式抽油机井工况诊断新模型

发布时间：2018-03-31 14:01

  本文选题：电功图　切入点：工况诊断　出处：《大庆石油地质与开发》2017年05期

【摘要】：为了解决示功图无法判别抽油机井地面设备工况、实时测量和维护成本高等问题,推导建立了基于电功图的皮带式抽油机井工况诊断新模型。根据能量守恒原理和皮带式抽油机悬点运动规律,建立抽油机井地面示功图计算电功图的数学模型。基于该模型,建立11种皮带式抽油机井典型工况下的电功图图版,并对电功图图版进行特征分析和特征值提取,建立基于特征值的电功图工况诊断模型。现场实例计算分析表明:计算得到的电功图与实测电功图基本一致,上冲程平台功率值、下冲程平台功率值和功率曲线的平均相对误差分别为6.32%、7.16%和5.81%;电功图诊断结果与根据示功图进行井下工况诊断结果的符合率为100%,且电功图能够准确地判别抽油机井地面设备的工况。研究结果能提高工况诊断结果的可靠度与诊断范围,为采油系统智能分析和优化决策提供技术支持。
[Abstract]:In order to solve the problems such as high cost of real time measurement and maintenance, etc. A new working condition diagnosis model of belt pumping unit based on electric power diagram is established. According to the principle of energy conservation and the movement law of suspension point of belt pumping unit, a mathematical model for calculating electric power diagram of pumping unit well surface is established. The electric work chart of 11 kinds of belt pumping well under typical working condition is established, and the feature analysis and characteristic value extraction of the electric work chart are carried out. A diagnosis model of electric power diagram based on eigenvalue is established. The calculation and analysis of field examples show that the calculated electric power diagram is basically consistent with the measured electric power diagram, and the power value of the upper stroke platform is obtained. The average relative error of the power value and power curve of the downstroke platform is 6.327.16% and 5.81% respectively, the coincidence rate between the diagnosis result of electric power diagram and the diagnosis result of downhole working condition based on indicator diagram is 100, and the electric power diagram can accurately distinguish the pumping well. The results of the study can improve the reliability and diagnostic range of the diagnostic results of the working conditions. It provides technical support for intelligent analysis and optimization decision of oil recovery system.
【作者单位】： 中国石油大学石油工程学院;胜利油田河口采油厂;河南油田石油工程技术研究院;
【基金】：中国石化胜利油田分公司项目“智能井群管控软件开发”(YT1508) 中国石化科技部项目“提高采油系统效率与智能化监控技术”(P15121)
【分类号】：TE355.5
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本文编号：1691048