| LUO Zheng-shan,OUYANG Chang-feng,WANG Xiao-wan,ZHANG Xin-sheng.Research on Prediction Model of Internal Corrosion Rate in Injection and Production String of Salt Cavern Gas Storage[J],51(6):283-290 |
| Research on Prediction Model of Internal Corrosion Rate in Injection and Production String of Salt Cavern Gas Storage |
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| DOI：10.16490/j.cnki.issn.1001-3660.2022.06.026 |
| KeyWord:salt cavern gas storage injection and production string corrosion rate prediction principal component analysis (KPCA) improved gray wolf optimization (IGWO) extreme learning machine (ELM) |
| Author | Institution |
| LUO Zheng-shan |
School of Management, Xi'an University of Architecture and Technology, Xi'an , China |
| OUYANG Chang-feng |
School of Management, Xi'an University of Architecture and Technology, Xi'an , China |
| WANG Xiao-wan |
School of Management, Xi'an University of Architecture and Technology, Xi'an , China |
| ZHANG Xin-sheng |
School of Management, Xi'an University of Architecture and Technology, Xi'an , China |
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| Abstract: |
| The injection and production string of the salt cavern gas storage has been in a complex underground environment for a long time, making it susceptible to a variety of corrosion factors. This work aims to improve the prediction accuracy of the corrosion rate in the injection and production string of the salt cavern gas storage, thereby ensuring the health and operational safety of these facilities. To accomplish the above objectives, the solution proposed is to establish an internal corrosion rate prediction model based on wavelet kernel principal component analysis (KPCA) and an extreme learning machine (ELM) after improved gray wolf optimization (IGWO). First of all, in the actual operation data of the injection and production string of the salt cavern gas storage, 10 indicators with larger corrosion factors are selected, such as:partial pressure of carbon dioxide, hydrogen sulfide partial pressure, inner wall surface temperature, etc. Subsequently, the internal corrosion index system of the injection and production string of the salt cavern gas storage was established. Secondly, the wavelet KPCA is used to extract the key features that affect the internal corrosion rate of the injection and production string, and then IGWO is used to iteratively optimize the input weight matrix and hidden layer threshold of the ELM model, and stop the loop until the termination condition is met. Furthermore, a prediction model of corrosion rate in the injection and production string of IGWO-ELM salt cavern gas storage is established. Finally, numerical simulation and simulation calculation are carried out in MATLAB software, and the prediction errors of the IGWO-ELM model are compared with the three models of ELM, PSO-ELM and SSA-ELM respectively. The research results show that the wavelet KPCA effectively extracts the three principal components that contain 98.61% of the original information in the corrosion data of the injection-production pipe string of the salt cavern gas storage. Applying the reconstructed corrosion data to the ELM, PSO-ELM, SSA-ELM, and IGWO-ELM models, their average relative errors are 9.404 8%, 5.061 5%, 1.573 7%, and 0.707 3%. The prediction results of the IGWO-ELM model are in good agreement with the actual values. The root mean square error of the constructed IGWO-ELM model is 0.008 8, the average absolute percentage error is 0.260 9%, and the coefficient of determination (R2) is as high as 0.992 5. Its prediction result is better than the other three comparison models. The kernel principal component analysis with the introduction of wavelet kernel function has an excellent ability to extract corrosion characteristics of the injection and production string of the salt cavern gas storage. Within the applicable range of certain working conditions, the established IGWO-ELM model can effectively predict the internal corrosion rate of the injection and production string of the salt cavern gas storage. It not only provides a reference basis for the integrity evaluation and risk warning of the injection and production system of the salt cavern gas storage, but also provides new ideas and methods for the corrosion study of the injection and production string of the salt cavern gas storage. |
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