基于电功图的抽油机井工况诊断模型

发布时间：2019-05-24 10:42

【摘要】：针对目前缺乏典型工况特征的电功图图集而导致电功图资料无法被充分应用、采油生产系统实时工况诊断难等问题,考虑曲柄实际角速度、四连杆的惯性、摩擦等因素,推导基于光杆示功图的电功图计算模型,建立13种油井工况下的典型电功图特征图集和基于特征值的电功图工况诊断模型,并编制工况诊断软件。经现场5口油井功图计算检验,结果表明:实测电功图与计算电功图的上、下冲程功率峰值、功率的极差、平均功率的平均相对误差分别为1.74%、3.89%、2.96%、1.74%。经现场6口油井电功图的工况诊断检验,该井下工况诊断结果与示功图诊断结果一致,表明基于电功图的抽油机井工况诊断模型准确率高,能为抽油机井采油系统智能分析和优化决策提供技术支持。
[Abstract]:In view of the problem that the electric power diagram data can not be fully applied because of the lack of typical working condition characteristic atlas, and the real-time working condition diagnosis of oil production system is difficult, the actual angular velocity of crank, the inertia of four connecting rods, friction and other factors are considered. The calculation model of electric power diagram based on optical rod indicator diagram is derived. the characteristic set of typical electric power diagram under 13 kinds of oil well working conditions and the diagnosis model of electric power diagram based on eigenvalues are established, and the working condition diagnosis software is compiled. The results show that the average relative errors of the measured electric power diagram and the calculated electric power diagram are 1.74%, 3.89% and 2.96%, respectively, and the average relative errors of the measured electric power diagram and the calculated electric power diagram are 1.74%, 3.89% and 2.96%, respectively. the average relative errors of the measured electric power diagram and the calculated electric power diagram are 1.74%, 3.89% and 2.96% respectively. 1.74%. The diagnosis results of the downhole working condition are consistent with those of the indicator diagram, which shows that the accuracy of the working condition diagnosis model of the pumping unit based on the electric power diagram is high. It can provide technical support for intelligent analysis and optimization decision of pumping well production system.
【作者单位】： 中国石油大学石油工程学院;中国石油大学胜利学院油气工程学院;河南油田分公司石油工程技术研究院;
【基金】：中国石油化工股份有限公司项目(P15121)
【分类号】：TE933.1
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本文编号：2484798