Application of High Intelligent Diagnosis System in Pumping Well

Dasheng Zhou, Qun-tai Shen, Yinming Zhi, Q. Meng
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引用次数: 0

Abstract

With the development of oil field, mechanical oil recovery has become the main way of oil production. Because its special working environment, it often leads to the occurrence of oil well failure, making the production and benefit decline. The test well number in a day, artificial diagnosis bias, through the establishment of different well conditions of rod string system mathematical model of wave equation to calculate the pump indicator diagrams research and development of oil well high intelligent diagnosis system, set up this diagnosis method, and through the ground indicator diagrams, pump indicator diagrams analysis, processing, automatic generation of oil well diagnosis analysis results. After the implementation, the accuracy of automatic diagnosis of oil well will reach more than 85%, which can meet the actual production needs. Using the high intelligent diagnosis technology of pumping unit well can grasp the working condition of oil production system timely and accurately, which has very important guiding significance and popularization application value for improving oil production efficiency, reducing oil production operation cost and increasing oil well output.
高智能诊断系统在抽油井中的应用
随着油田的开发,机械采油已成为采油的主要方式。由于其特殊的工作环境,经常导致油井失效的发生,使产量和效益下降。在一天内测试井数少、人工诊断偏差大的情况下,通过建立不同井况抽油杆柱系统波动方程数学模型来计算泵指标图,研究开发了油井高智能诊断系统,建立了这种诊断方法,并通过对地面指标图、泵指标图的分析、处理,自动生成油井诊断分析结果。实施后,油井自动诊断准确率达到85%以上,可满足实际生产需要。采用抽油机井高智能诊断技术,可以及时、准确地掌握采油系统的工作状态,对提高采油效率、降低采油作业成本、增加油井产量具有十分重要的指导意义和推广应用价值。
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