{"title":"Complete Construction and Research of CO2 Corrosion Prediction Model for a Gas Field Wellbore","authors":"Chengyin Jiang, Yuefei Ren, Libin Gao, Feifei Cao, Xingjun Chai, Yuan Li","doi":"10.1002/maco.202414736","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This study focuses on the corrosion rate prediction of gas field wellbores. Considering the synergistic effect of corrosion factors such as multiphase flow, temperature, pressure, fluid velocity, pH value, microorganisms, and chloride ions, a CPD-well multiphase flow corrosion prediction model, which is based on Norsok M506 model, is constructed by utilizing the corresponding parameters of shut-in wells and production wells. The verification of the predicted corrosion rate is carried out based on MIT logging data of the gas wells. The results show that the determination coefficient <i>R</i><sup>2</sup> is between 84.6% and 92.1%. To validate the improved quality, a comparison is performed among the CPD-well, Norsok M506, and De Waard 95 model. Detailed discussions are provided in this study.</p></div>","PeriodicalId":18225,"journal":{"name":"Materials and Corrosion-werkstoffe Und Korrosion","volume":"76 9","pages":"1342-1352"},"PeriodicalIF":2.0000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials and Corrosion-werkstoffe Und Korrosion","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/maco.202414736","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study focuses on the corrosion rate prediction of gas field wellbores. Considering the synergistic effect of corrosion factors such as multiphase flow, temperature, pressure, fluid velocity, pH value, microorganisms, and chloride ions, a CPD-well multiphase flow corrosion prediction model, which is based on Norsok M506 model, is constructed by utilizing the corresponding parameters of shut-in wells and production wells. The verification of the predicted corrosion rate is carried out based on MIT logging data of the gas wells. The results show that the determination coefficient R2 is between 84.6% and 92.1%. To validate the improved quality, a comparison is performed among the CPD-well, Norsok M506, and De Waard 95 model. Detailed discussions are provided in this study.
期刊介绍：
Materials and Corrosion is the leading European journal in its field, providing rapid and comprehensive coverage of the subject and specifically highlighting the increasing importance of corrosion research and prevention.
Several sections exclusive to Materials and Corrosion bring you closer to the current events in the field of corrosion research and add to the impact this journal can make on your work.
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