基于小波包分析的气举泵气液两相流效率特征研究

WAVELET PACKET ANALYSIS OF GAS-LIQUID TWO-PHASE FLOW EFFICIENCY CHARACTERISTICS IN AIRLIFT PUMPS

  • 摘要: 本研究的目的是利用实验获得的压力信号来识别气举泵是否处在效率最高点。通过在提升管的不同部位进行压力测量,收集了多个传感器的数据,涵盖不同流型下的气液两相流特性。采用功率谱密度函数和小波包分解对压力信号进行分析,以揭示气举泵效率与流型变化之间的关系。结果表明,在弹状流期间,当管道中部传感器采集的压力信号在0~32 Hz频段的能量占比达到峰值且奇异谱熵处于低谷值时,表明系统气液两相的相互作用处于最优状态,泵的效率达到了最大值。通过实验验证,压力信号的特征可以有效判断当前气体表观流速下气举泵是否处于效率最高点。本研究为基于压力信号的气举泵效率监测提供了新的思路和方法,具有较强的实际应用价值。

     

    Abstract: This study investigates the identification of peak efficiency operation in airlift pump through experimental pressure signal analysis. Pressure measurements were collected from multiple sensors located along the riser pipe to characterize gas-liquid two-phase flow across various flow regimes. Power spectral density and wavelet packet decomposition were used to analyze the pressure signals and reveal the relationship between airlift pump efficiency and flow regime transitions. The results show that during the slug flow period, when the pressure signal collected by the sensor in the middle of the pipeline reaches a peak in energy proportion within the 0–32 Hz frequency band and the corresponding singular spectrum entropy is at a low valley value, it indicates that the interaction between the gas and liquid phases in the system is in an optimal state, and the pump efficiency reaches its maximum value. Experimental validation confirms that the characteristics of the pressure signal can effectively identify whether the airlift pump is at its efficiency peak under the current gas superficial velocity. This study provides new ideas and methods for monitoring airlift pump efficiency based on pressure signals, offering significant practical value.

     

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