Vibration prediction of oil and gas pipeline plugging robot in plugging process

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (13) : 36-49.

MIAO Xingyuan, ZHAO Hong

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Abstract

Pipeline maintenance technology based on the pipeline isolation plugging robot (PIPR) is an important means to ensure the safe transportation of pipelines. Aiming at the shock vibration of PIPR during plugging operation, the vibration analysis was carried out from two aspects of motion process and plugging operation. The PIPR’s dynamic model based on fluid-solid coupling was established to analyze the axial, radial and pitch vibrations of the PIPR during the movement. The plugging experiment for different spoiler models of PIPR was carried out to observe the change of flow field during the plugging process. And the pressure gradient during the plugging process was used to measure the vibration of PIPR. The Kernel Extreme Learning Machine (KELM) optimized by Improved Seagull Optimization Algorithm (ISOA) was proposed to establish the pressure gradient proxy model for each spoiler model respectively, to realize the vibration prediction of PIPR. The results showed that the proposed proxy models could achieve accurate prediction of pressure gradient during the plugging process for different spoiler models. This had guiding significance for ensuring the stability of the plugging operation.

Key words

Pipeline isolation plugging robot / Shock vibration / Spoiler model / Improved Seagull Optimization Algorithm (ISOA) / Kernel Extreme Learning Machine (KELM)

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MIAO Xingyuan, ZHAO Hong. Vibration prediction of oil and gas pipeline plugging robot in plugging process[J]. Journal of Vibration and Shock, 2023, 42(13): 36-49

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