Research On External Corrosion And Remaining Life Prediction Of Buried Oil Pipelines

With the rapid economic development,my country's demand for petroleum energy is increasing.The most common method of petroleum transportation is buried pipeline transportation.Due to the numerous interference factors of internal and external corrosion of buried pipelines,it is difficult for traditional methods to accurately study and predict buried pipelines.Therefore,in order to enhance the accuracy of buried pipeline prediction,based on the corrosion status and research progress of buried pipelines at home and abroad,combined with actual buried pipeline corrosion related data,the prediction model is used to conduct in-depth research on the corrosion rate and corrosion depth of buried pipelines.,And then based on the corrosion rate and corrosion depth,and then predict the remaining life of the buried pipeline,this article mainly conducts the following research work:Extract corrosion rate influence factors based on BP-MIV model and establish a corrosion rate prediction model based on improved artificial fish schools.First,the improved BP-MIV algorithm is used to extract important corrosion rate influencing factors as predictive indicators,and then the support vector machine model is introduced to construct the buried pipeline corrosion rate prediction model.The improved artificial fish school algorithm is used to optimize the penalty parameter C and the kernel function parameter g.Finally Combine the corrosion data of buried pipelines to predict the corrosion rate of the pipeline in the future.Based on the improved RFFS model,the factors affecting the corrosion depth are extracted and the GSA-SVR corrosion depth prediction model is established.In this paper,the improved RFFS algorithm is used to extract important corrosion factors of buried pipelines as the input value of the GSA-SVR corrosion depth prediction model,and then use GSA to optimize the penalty parameter C and the kernel function parameter g of SVR to increase the corrosion depth of buried pipelines The accuracy and reliability of the forecast.Prediction of the remaining life of long-distance oil pipelines based on the geometry-Gumbel model.This paper uses the predicted corrosion depth of each section of the pipeline as the input value,and then establishes a geometric-Gumbel model for fitting,and finally predicts the remaining life of the pipeline based on the critical maximum buried pipeline corrosion depth value and the life calculation formula.In summary,an optimized prediction model for corrosion rate,corrosion depth and remaining life of long-distance oil pipelines is proposed to provide decision-making basis for pipeline maintenance and replacement.At the same time,how to further improve the prediction accuracy and effectively protect the buried pipeline is the direction that this article needs to improve and optimize.