## 1 Introduction
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Prediction** & **Method** & **Reference/Year** & **Main Result** \\ \hline \multirow{6}{*}{Statistical model} & mathematical & \multirow{2}{*}{[8]/2007} & It was indicated that this statistical method has high accuracy and can effectively guide the residual strength assessment of oil and gas pipelines. \\ \cline{2-4}  & Mathematical & \multirow{2}{*}{[9]/2007} & The results showed that the method can guide the development of corrosion control measures and accurately predict the probability of pipeline failure. \\ \cline{2-4}  & Probabilistic & \multirow{2}{*}{[10]/2006} & The method in this paper can predict the corrosion trend of gathering and transportation pipeline well and provide a reliable basis for the remaining life prediction of the pipeline. \\ \cline{2-4}  & ARMA & [11]/2005 & It is shown that it is practical to apply time series analysis to predict the depth extension of pitting corrosion in oil and gas pipelines. \\ \cline{2-4}  & NEGM(1,1,r)- & The combined model is capable of mining reliable information in the pipeline corrosion rate series from multiple perspectives and possesses high prediction accuracy. \\ \hline \multirow{6}{*}{Empirical model} & Norsok & [13]/2021 & The method prediction results are in good agreement with the field observations, outstanding predicts regional corrosion rates, and allows for the identification of locations susceptible to CO\({}_{2}\) corrosion. \\ \cline{2-4}  & Improved De Waard & \multirow{2}{*}{[14]/2023} & The constructed model has high accuracy in wet gas pipeline corrosion prediction, which lays the foundation for improving the intrinsic safety of wet gas pipeline operation. \\ \cline{2-4}  & Improved DWM & [15]/2020 & Comparative analyses were carried out to verify the reliability of the model and provide a theoretical basis for the selection of casing tubing for oil and gas wells. \\ \hline \multirow{6}{*}{Finite element model} & ANSYS & [16]/2024 & Model accuracy verified by oil field data. \\ \cline{2-4}  & ABAQUS & [17]/2024 & Comparison with the actual test data of pipeline X80 demonstrates that the prediction method has good applicability and high calculation accuracy. \\ \cline{2-4}  & ANSYS & [18]/2020 & The relationship between remaining life of cylinders and whole-life corrosion defects can be accurately predicted. \\ \hline \multirow{6}{*}{Finite element model} & SVM & [19]/2016 & Combined with the field data, the MRE of the predicted data from the SVM is small and the prediction results are in line with the reality. \\ \cline{2-4}  & BPNN & [20]/2020 & The model developed based on BPNN effectively achieves the effective prediction of pipeline failure pressure under the state of corrosion defects. \\ \cline{2-4}  & BPNN & [21]/2022 & The established corrosion prediction model holds significant importance for the reliability assessment of pipelines. \\ \cline{2-4}  & PSO-BPNN & [22]/2019 & Using the improved PSO-BPNN to predict the corrosion rate of oil pipelines can provide reliable theoretical and technical support for pipeline inspection and maintenance. \\ \cline{2-4}  & LWQPSO-NN & [23]/2022 & The method significantly improves the performance of the algorithm, including stability and average accuracy, by 7.35\% to 18.16\% compared to the comparison algorithms. \\ \cline{2-4}  & GA-BPNN & [24]/2024 & The constructed corrosion prediction model can be used for the safety performance evaluation of offshore pipeline columns. \\ \hline \multirow{2}{*}{IDE–BP} & IDE–BP & [25]/2023 & Compared with the original model, the damage detection method of the model IDE-BP has better detection results in both single and multi-damage scenarios. \\ \cline{2-4}  & SA-PSO-BPNN & [26]/2023 & The constructed hybrid model can provide timely and accurate detection guidance for pipeline leaks. \\ \hline \multirow{2}{*}{ABC-BPNN} & ABC-BPNN & [27]/2023 & The stability and accuracy of the model ABC-BPNN as a tool for predicting the ultimate bearing capacity of corroded pipelines on the seabed is demonstrated. \\ \cline{2-4}  & EMD-SA-BP & [28]/2024 & The corrosion monitoring model built by the optimized BPNN has good reliability. \\ \hline \multirow{6}{*}{VMD-HT-Bi GUR} & \multirow{2}{*}{[29]/2024} & The proposed model has good robustness in flow-noise environments and the identification accuracy of the monitoring data reaches 96.3\%, which can be used as a new solution for corrosion otoacoustic emission monitoring of in-service pipelines. \\ \cline{1-1} \cline{2-4}  & & & \\ \end{tabular}
\end{table}