Research On Detection Method Of Micro Leakage In Crude Oil Pipeline

In pipeline leaks,small leaks are not easy to check and are prone to safety hazards.Moreover,with the accumulation of crude oil scouring over time,the leakage aperture will become larger and larger,leading to leakage.In recent years,cracks have occurred due to the old transportation pipeline itself,and various small leakage accidents caused by some oil thieves drilling small flow holes in the pipeline have often occurred,which has great hidden dangers to the safety of my country’s pipeline transportation system.First of all,according to the characteristics of the small leakage of crude oil pipeline,this thesis uses the negative pressure wave method to study it,and establishes the negative pressure wave mathematical model that introduces the crude oil velocity.For effective positioning,wavelet noise reduction,empirical modal analysis,and collective empirical modal analysis are used.The innovation of this paper lies in the use of wavelet denoising-Ensemble empirical modal decomposition（WT-EEMD）for joint denoising.The original signal is wavelet denoised first,and then the denoised data is denoised.Integrate empirical modal analysis to filter out the noise that affects the detection of small leaks.Finally,conduct field tests and collect data.By pressurizing the water pump and opening the leakage valve,a small leak in the actual crude oil pipeline is simulated.The feasibility of the above algorithm is verified through the actual data collected.The validity of the theory proposed in this thesis is verified through experiments,as well as the positioning error calculated using WT-EMD algorithm is 0.55%.The positioning error calculated using WT-EEMD algorithm is 0.3%.It can be seen that the theory proposed in this thesis can more accurately extract the inflection point of the negative pressure wave,thereby improving the positioning accuracy.This is useful for the study of small leaks in crude oil pipelines.