{"title":"Automatic Detection and Classification of Underground Objects in Ground Penetrating Radar Images Using Machine Learning","authors":"Leila Carolina Martoni Amaral, Aditya Roshan, Alireza Bayat","doi":"10.1061/jpsea2.pseng-1444","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1444","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jpsea2.pseng-1477
Linshuang Wu, Kexi Liao, Guoxi He, Min Qin, Zhongyuan Tian, Nan Ye, Minan Wang, Jihui Leng
Corrosion perforation of wet gas pipelines occurs frequently, threatening the safe production on gas fields and bringing huge economic losses. Therefore, wet gas pipelines need to use a suitable corrosion prediction model to predict the corrosion rate along the pipeline and anticipate the corrosion risk. However, current corrosion prediction models have problems such as large errors and inaccurate predictions. This paper compares four common corrosion prediction models and combines these four models with OLGA multiphase flow simulation calculations to predict the corrosion condition of the same pipeline under three different conditions. Finally, it compares the model predictions with the actual corrosion internal detection data. The predicted value of the De Waard 95 model was closer to the corrosion internal detection data, but the error result still reached 82.03%. To further improve the accuracy of the corrosion prediction model for wet gas pipelines, the De Waard 95 model was optimized using the linear fitting method to obtain a new corrosion prediction model, W22. And the corrosion prediction experiment was conducted for the multiphase flow corrosion loop using the W22 model, and the error between the prediction results and the experimental results was only 6.8%. Compared with the De Waard 95 model, the average error of the W22 model was reduced by 81.32%. Therefore, the W22 model has high accuracy in predicting wet gas pipeline corrosion, which lays the foundation for improving the essential safety of wet gas pipeline operation.
湿输气管道腐蚀穿孔现象时有发生，威胁着气田的安全生产，造成了巨大的经济损失。因此，湿输气管道需要采用合适的腐蚀预测模型，对管道沿线的腐蚀速率进行预测，并对腐蚀风险进行预测。然而，目前的腐蚀预测模型存在误差大、预测不准确等问题。本文比较了四种常用的腐蚀预测模型，并结合OLGA多相流模拟计算，对同一管道在三种不同条件下的腐蚀状况进行了预测。最后，将模型预测结果与实际腐蚀内部检测数据进行了比较。De Waard 95模型的预测值更接近腐蚀内部检测数据，但误差仍达82.03%。为进一步提高湿输气管道腐蚀预测模型的精度，采用线性拟合方法对De Waard 95模型进行优化，得到新的腐蚀预测模型W22。采用W22模型对多相流腐蚀环进行了腐蚀预测实验，预测结果与实验结果的误差仅为6.8%。与De Waard 95模型相比，W22模型的平均误差降低了81.32%。因此，W22模型在预测湿气管道腐蚀方面具有较高的准确性，为提高湿气管道运行的本质安全性奠定了基础。
{"title":"Wet Gas Pipeline Internal General Corrosion Prediction Based on Improved De Waard 95 Model","authors":"Linshuang Wu, Kexi Liao, Guoxi He, Min Qin, Zhongyuan Tian, Nan Ye, Minan Wang, Jihui Leng","doi":"10.1061/jpsea2.pseng-1477","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1477","url":null,"abstract":"Corrosion perforation of wet gas pipelines occurs frequently, threatening the safe production on gas fields and bringing huge economic losses. Therefore, wet gas pipelines need to use a suitable corrosion prediction model to predict the corrosion rate along the pipeline and anticipate the corrosion risk. However, current corrosion prediction models have problems such as large errors and inaccurate predictions. This paper compares four common corrosion prediction models and combines these four models with OLGA multiphase flow simulation calculations to predict the corrosion condition of the same pipeline under three different conditions. Finally, it compares the model predictions with the actual corrosion internal detection data. The predicted value of the De Waard 95 model was closer to the corrosion internal detection data, but the error result still reached 82.03%. To further improve the accuracy of the corrosion prediction model for wet gas pipelines, the De Waard 95 model was optimized using the linear fitting method to obtain a new corrosion prediction model, W22. And the corrosion prediction experiment was conducted for the multiphase flow corrosion loop using the W22 model, and the error between the prediction results and the experimental results was only 6.8%. Compared with the De Waard 95 model, the average error of the W22 model was reduced by 81.32%. Therefore, the W22 model has high accuracy in predicting wet gas pipeline corrosion, which lays the foundation for improving the essential safety of wet gas pipeline operation.","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jpsea2.pseng-1298
P. Sivakumar, Rajesh Gupta, C. R. Suribabu, T. Tanyimboh, S. Nivedita
{"title":"Discussion of “Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership”","authors":"P. Sivakumar, Rajesh Gupta, C. R. Suribabu, T. Tanyimboh, S. Nivedita","doi":"10.1061/jpsea2.pseng-1298","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1298","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45081549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jpsea2.pseng-1458
Fulin Kong, Yuxin Liu, Lige Tong, Wei Guo, Li Wang, Yulong Ding
{"title":"A Novel Low-Pressure Release Method Based on Inlet Regulation for Users with Low Demand Scenario","authors":"Fulin Kong, Yuxin Liu, Lige Tong, Wei Guo, Li Wang, Yulong Ding","doi":"10.1061/jpsea2.pseng-1458","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1458","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Behavior and Safety Criteria of Buried Concrete Pipeline System under Blasting","authors":"Huazhang Cao, N. Jiang, Chuan-bo Zhou, Haibo Li, Jinshan Sun, Tingyao Wu","doi":"10.1061/jpsea2.pseng-1343","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1343","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48217008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1061/jpsea2.pseng-1423
Steven McLaggan, Campbell Bryden, A. Valsangkar
{"title":"Effect of Trench Geometry on the Behavior of Negative Projecting Box Culverts","authors":"Steven McLaggan, Campbell Bryden, A. Valsangkar","doi":"10.1061/jpsea2.pseng-1423","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1423","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48144461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1061/jpsea2.pseng-1382
L. B. Sihombing, Bernadette Christin
{"title":"Analyzing Contingency Cost Risks in a Pipeline EPC Project Using a Monte Carlo Simulation","authors":"L. B. Sihombing, Bernadette Christin","doi":"10.1061/jpsea2.pseng-1382","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1382","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45118900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1061/jpsea2.pseng-1486
A. Ostfeld, G. R. Abhijith
{"title":"Digital Twin for Water Distribution Systems Management—Towards a Paradigm Shift","authors":"A. Ostfeld, G. R. Abhijith","doi":"10.1061/jpsea2.pseng-1486","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1486","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46794751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1061/jpsea2.pseng-1411
{"title":"Experimental Study on Mechanical Behavior of Gas Transmission Shield Tunnel Segments","authors":"","doi":"10.1061/jpsea2.pseng-1411","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1411","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"58597121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1061/jpsea2.pseng-1464
Hongfang Lu, Zhao Xu, Xulei Zang, D. Xi, T. Iseley, John C. Matthews, Niannian Wang
{"title":"Leveraging Machine Learning for Pipeline Condition Assessment","authors":"Hongfang Lu, Zhao Xu, Xulei Zang, D. Xi, T. Iseley, John C. Matthews, Niannian Wang","doi":"10.1061/jpsea2.pseng-1464","DOIUrl":"https://doi.org/10.1061/jpsea2.pseng-1464","url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45054180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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