{"title":"气田井筒CO2腐蚀预测模型的完整构建与研究","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":"{\"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}","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
摘要
本研究以气田井筒腐蚀速率预测为重点。考虑多相流、温度、压力、流速、pH值、微生物、氯离子等腐蚀因素的协同作用,基于Norsok M506模型,利用关井和生产井的相应参数,构建了cpd井多相流腐蚀预测模型。根据气井的MIT测井资料,对预测的腐蚀速率进行了验证。结果表明,测定系数R2在84.6% ~ 92.1%之间。为了验证改进后的质量,对cpd井、Norsok M506和De Waard 95模型进行了比较。本研究提供了详细的讨论。
Complete Construction and Research of CO2 Corrosion Prediction Model for a Gas Field Wellbore
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.