基于大数据的抽油机井硬件匹配技术研究

Research on hardware matching technology of pumping wells based on big

为了进一步提高抽油机井的运行效率,适应未来一段时间内的抽油机井产量和流动液面变化,应用了基于大数据分析的抽油机井硬件匹配技术。以日产液量分级、举升高度等参数作为单井硬件设备匹配方案的优选参数,按照能耗最优的原则形成硬件设备匹配模板,适应抽油机井未来一段时间内的产液量及生产参数的变化,降低了抽油机井的能耗及维修维护性成本,满足了抽油机井低成本开发的需要。通过4口井进行验证,电动机平均装机功率下降了13.29%,平均功率利用率上升了2.24个百分点,取得了较好的效果,为后期油田智能化建设提供技术支撑。

In order to improve the operating efficiency of pumping well and adapt the change of pro-duction and flow liquid of pumping well in the coming period,the hardware matching technology of pumping wells has been applied based on big data analysis.Taking the parameters such as daily liquid production classification,lifting height and other parameters as the optimal parameters for single well,the hardware equipment matching template,based on the principle of optimal energy consumption,are formed,which adapts to the changes of liquid production and production parameters of pumping well in the future period,reduces the energy consumption and maintenance costs of pumping well,and meets the needs of low cost development of pumping well.Even more to the point,by validating the four wells,the average installed power of motors is reduced by 13.29%,and the average power utilization rate is increased by 2.24 percentage points,which achieves better results and provides techni-cal support for the later intelligent construction of oilfield.