王俊,李研,袁恒,等. 间歇抽油机井多参数综合优化方法[J]. 石油钻采工艺,2025,47(5):590-599. DOI: 10.13639/j.odpt.202505031
引用本文: 王俊,李研,袁恒,等. 间歇抽油机井多参数综合优化方法[J]. 石油钻采工艺,2025,47(5):590-599. DOI: 10.13639/j.odpt.202505031
WANG Jun, LI Yan, YUAN Heng, et al. Comprehensive multi-parameter optimization method for intermittent rod pumped wells[J]. Oil Drilling & Production Technology, 2025, 47(5): 590-599. DOI: 10.13639/j.odpt.202505031
Citation: WANG Jun, LI Yan, YUAN Heng, et al. Comprehensive multi-parameter optimization method for intermittent rod pumped wells[J]. Oil Drilling & Production Technology, 2025, 47(5): 590-599. DOI: 10.13639/j.odpt.202505031

间歇抽油机井多参数综合优化方法

Comprehensive multi-parameter optimization method for intermittent rod pumped wells

  • 摘要: 传统抽油机井生产参数的优化主要针对泵径、冲程、冲次、泵深进行,而间歇抽油机井则是在生产参数不变的条件下仅对开井时间和停井时间进行设计,且泵效随抽油时间的动态变化常被忽略,往往将泵效简化为恒值处理,导致优化结果与实际生产存在偏差。为此开展生产参数在间歇生产条件下的优化,通过建立抽油系统能耗仿真模型,考虑泵效在开抽过程中的动态变化,构建泵效与油井实测流压下降数据耦合模型,分析抽汲参数与间抽制度对能耗的影响,在保证产量一定的条件下,以能耗最低为目标建立优化模型,提出一种涵盖泵径、冲程、冲次、开关井时间的多参数综合优化方法。运用该方法现场验证50口井,措施前平均日耗电为118.78 kW·h,措施后平均日耗电为105.34 kW·h,平均节电率达11.32%。研究表明,抽汲参数与间抽制度综合优化方法降低了传统方法存在的误差,可以有效降低系统能耗,取得良好的节能效果。

     

    Abstract: The optimization of production parameters for conventional rod pumped wells is mainly focused on pump diameter, stroke, stroke frequency and pump depth. However, for intermittent rod pumped wells, while remaining the production parameters constant, the flowing time and well off time are designed alone. Moreover, the dynamic changes of pump efficiency with oil extraction time are often ignored, while the pump efficiency is often simplified as a constant value, resulting in deviations between the optimization results and actual production. To address this issue, a comprehensive optimization of production parameters under intermittent production conditions was carried out. By establishing a simulation model of the energy consumption for the oil extraction system, considering the dynamic changes of pump efficiency during the startup process, a coupling model integrating pump displacement coefficient and measured well flowing pressure drop data was built to analyze the influence of pumping parameters and intermittent operation schedule on energy consumption. Under the condition of ensuring a constant production volume, an optimization model was established with the goal of minimizing energy consumption. A comprehensive multi-parameter optimization method inclusive of pump diameter, stroke, stroke frequency, and startup and shutdown time is proposed. Field application of this method in 50 wells.showed that the average daily power consumption before the treatment was 118.78 kW·h, while 105.34 kW·h after the treatment, with an average power saving rate of 11.32%. The research demonstrates that the comprehensive optimization method for pumping parameters and intermittent operation schedule reduces the errors inherent in the conventional methods, can effectively lower the system energy consumption, and has achieved sound energy-saving effects.

     

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