Research on Internal Corrosion Prediction Model of Shale Gas Gathering Pipeline Based on LHS-Kriging-DW
In order to accurately predict the internal corrosion rate of shale gas gathering pipeline,the DW(DeWarrd)model was modified,and the modified DW was trained by Kriging(Kriging method)optimized by La LHS(latin hypercube sampling hypercube sampling)to establish the model and verify it.The internal corrosion rate of a shale gas gathering pipeline was detected by high-definition magnetic flux leakage detector.Based on PIPESIM,the field condition of the pipeline was simulated,and the Ninfit function was used to modify the DW model by multivariate nonlinear regression.The modified DW model was trained and optimized by LHS-Kriging,and the interval estimation of corrosion rate of another adjacent pipeline was predicted and verified by field excavation.The results of field detection show that the pipeline has serious corrosion at several low-lying effusion sites,so the liquid holdup is introduced as a correction factor to modify the DW model.The sample number of 500 is selected for LHS-Kriging training to correct the DW model with small error.In the application of the example,nine of the 10 excavation detection points are within the 95%confidence interval of the predicted results.It indicates that the established corrosion rate model has certain accuracy,which can be used to guide the direct evaluation of in-situ corrosion and other related work.
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