Quixi Crude Oil Pipelines Based On Internal Detection Of The Remaining Life Forecast And Software Development

With the increase in the use of oil pipelines,safety and environmental accidents during the operation of pipelines also occur from time to time,and there is a great threat to the safe operation of pipeline transportation and the area around the pipeline.The occurrence of pipeline accidents and corrosion defects are inseparable.The long-transmission pipeline is in a high temperature and high-voltage operating state all year round.When the pipeline defect develops to the critical point or is deformed,it will cause accidents such as damage and burst of pipelines.Therefore,it is of great significance to judge the operating conditions of the pipeline for the implementation of the internal detection of pipelines.However,there are diversity and complexity in the influencing factors of pipeline corrosion,the types of defects,etc.,and the traditional internal test results and the existing surplus intensity evaluation methods cannot meet the needs of the entire life cycle management of the pipeline.And the surplus intensity evaluation research,the remaining life of the pipeline is predicted in the development of pipeline defects,thereby optimizing the maintenance cycle of the pipeline.This article is based on the implementation of the internal detection of the internal leakage in the service pipeline and the research of the operation of the pipeline,and combines the internal test results to complete the integrity of the pipeline.Analyze the growth rate of pipeline defects and the remaining strength of metal loss defects,and predict the surplus life of metal defects.Determine the 3-time maintenance of the defects of metal loss immediately and a total of 20 metal loss defects that need to be repaired within three years.On the basis of comprehensively analyzing the influencing factors of the buried pipeline,the soil corrosion factors of the buried pipeline and pipeline transport medium are collected by collecting and experimenting.Predict the factors that affect the corrosion rate,build a predictive data matrix of the influencing factor and substitute it into the GM(1,N)predictive model to achieve precise prediction of the corrosion rate.Through the comparison with other corrosion rate models,the GM has been verified by GM(1,N)The prediction model is more suitable for the oil pipeline studies in this article.Adopting ANSYS finite element software,the corresponding finite element model of the pipeline was established,and the numerical analysis of the pipeline defect was discussed,and the pipelines were discussed by different pipeline wall thickness and wear.The stress strain analysis under different internal pressure obtained that when the pipeline was not damaged and worn,the structural mechanics performance was the strongest.When the damage and wear were damaged,the structural performance was the worst.The excellent antigenic performance of the entire pipeline is poor.Based on the above studies,under the three types of conditions,the stress strain distribution of the pipeline under different pipeline wall thickness and internal pressure was established,and the numerical calculation procedures for pipeline stress strain were established.In the end,the mechanical model of the corrosion rate prediction model and pipeline,and used the C ++ language to develop the remaining life prediction software of the Quxi pipeline,which realized the direct evaluation of the inner and external corrosion life of the oil pipeline.