http://yetl.yabesh.ir/yetl1/handle/yetl/19006 2026-04-23T18:30:35Z 2026-04-23T18:30:35Z Hongfang Lu Cuiwei Liu Xing Zou Haoyan Peng Houming Ni Tom Iseley http://yetl.yabesh.ir/yetl1/handle/yetl/4309984 2026-02-16T21:57:34Z 2025-01-01T00:00:00Z

Prediction of Construction Traction Force for Corroded Pipeline Rehabilitation Using Multilayer Composite Liners Hongfang Lu; Cuiwei Liu; Xing Zou; Haoyan Peng; Houming Ni; Tom Iseley The rehabilitation of corroded pipelines is critical for maintaining the global energy supply chain. Traditional repair methods, involving the replacement of damaged sections, are economically prohibitive and environmentally disruptive. This study addresses these challenges by focusing on the innovative inserted liner method, a trenchless technique offering a more sustainable and cost-effective solution. Through numerical simulations and full-scale experimental investigations, the study predicts the traction forces required during the liner insertion process, especially in pipelines with multiple bends. The effects of bend angles, friction coefficients of the pipeline’s inner wall, and number of bends on the traction forces are investigated. Results indicate that the traction force increases with higher friction coefficients and a greater number of bends, while it decreases with larger bend angles. To further enhance the feasibility of this method, friction reduction measures, such as the application of lubricating oil and filling the annular space with water, are explored, demonstrating significant reductions in traction forces. This research employs the longest full-scale experimental platform for inserted liner methods, providing insights and practical guidelines for the implementation of this technique in complex long-distance pipeline systems.

2025-01-01T00:00:00Z Lihang Wang Hao Zhou http://yetl.yabesh.ir/yetl1/handle/yetl/4309983 2026-02-16T21:57:32Z 2025-01-01T00:00:00Z

A Bibliometric Analysis on the Safety of Oil and Gas Pipelines: Research Trends and Perspectives Lihang Wang; Hao Zhou Oil and gas pipeline safety analyses aim to enhance the integrity management and operational safety of pipelines to prevent major incidents. This study seeks to provide a comprehensive overview of the evolution of research hotspots and knowledge frontiers in global oil and gas pipeline safety. A bibliometric data mining method was adopted to systematically sort out 2,582 studies in the field of oil and gas pipeline safety retrieved from the core database of Web of Science from 2000 to 2023. A bibliometric network analysis was conducted to investigate the distribution of papers in terms of time, geographic region, organization, main author, journal cocitation, and literature cocitation, and to identify the research hotspots and frontiers. The findings revealed that the number of papers on oil and gas pipeline safety has surged from 10 in 2000 to 327 in 2023, reflecting an overall exponential growth trend. Key research contributions in this field predominantly originate from institutions such as the China University of Petroleum (Beijing), Southwest Petroleum University, and China University of Petroleum (East China). These institutions, located primarily in China, have had a significant impact on the field. Notable researchers, including Li Yuxing, Faisal Khan, and Zhang Hong, have made substantial contributions. Leading journals, such as Journal of Loss Prevention in the Process Industries, Process Safety and Environmental Protection, and Energies, have published the highest number of influential papers in this area. The research indicates that although a foundational theory and research framework for oil and gas pipeline safety have been established, numerous research directions and cutting-edge branches continue to emerge. Prominent among these are studies focusing on pipeline reliability analysis, risk assessment, failure prediction, leakage, and multiphase flow assurance, using numerical simulations and machine learning techniques. This study provides a theoretical basis and practical guidance for advancing oil and gas pipeline safety analysis and accident prevention.

2025-01-01T00:00:00Z Lianmin Cao Dekang Zhang Xinze Li Zhenning Fan Yuguang Cao http://yetl.yabesh.ir/yetl1/handle/yetl/4309982 2026-02-16T21:57:31Z 2025-01-01T00:00:00Z

Prediction of Corrosion Rate in Carbon Dioxide Pipeline Based on KPCA–BP Lianmin Cao; Dekang Zhang; Xinze Li; Zhenning Fan; Yuguang Cao Corrosion is the main reason for the failure of CO2 pipelines. The corrosion behavior and mechanism of CO2 pipelines significantly differ from those of traditional oil and gas pipelines. The existing CO2 pipeline corrosion prediction models have low prediction accuracy. Given the presented problems, first, considering the interaction of corrosion influencing factors such as impurities, the kernel principal component analysis (KPCA) is used to reduce the dimension of the factors affecting the internal corrosion behavior of CO2. After that, 27 groups of internal corrosion rate test data were used as training sets. The backpropagation (BP) neural network algorithm was used to construct a prediction model of the pipeline internal corrosion rate based on KPCA–BP. Finally, the reliability of the model constructed in this paper and the existing corrosion prediction model is verified using eight sets of test set corrosion data. The results show that the KPCA algorithm uses the cumulative contribution rate as the evaluation index to determine five principal components, effectively reducing the prediction model’s complexity. The root mean square error, average absolute percentage error, and determination coefficient of the KPCA–BP combined model for predicting the internal corrosion rate of CO2 pipeline are 0.00735, 20.18, and 0.9857, respectively, and the average relative error is 15.95%. Compared with the existing corrosion prediction models, the prediction accuracy of the KPCA–BP combined model for the internal corrosion rate of the CO2 pipeline is greatly improved. It lays a foundation for the subsequent evaluation of residual strength and residual life of the CO2 pipeline.

2025-01-01T00:00:00Z Minghan Sun Jewel X. Zhu Shibo Hao http://yetl.yabesh.ir/yetl1/handle/yetl/4309981 2026-02-16T21:57:29Z 2025-01-01T00:00:00Z

Analyzing the Innovation Progress in Global Oil and Gas Pipeline Transportation Minghan Sun; Jewel X. Zhu; Shibo Hao Based on statistics and analysis of globally granted patents in the oil and gas pipeline sector, this study presents a panoramic view of the technological development and innovation evolution in oil and natural gas pipelines for relevant enterprises and engineers. Currently, China and Russia are increasingly dependent on oil and gas pipeline technologies and are very active in innovation activities. With large-scale oil and gas pipeline infrastructure development and numerous research teams actively participating in innovation, China has emerged as a major source of knowledge in global oil and gas pipeline technology innovation. Technologically, control, protection, or monitoring devices for oil and gas pipeline systems have become the most common technical theme in the oil and gas transportation. Additionally, pipeline inspection robots, support devices for pipelines, and heating or cooling technologies for pipelines also represent fields with promising innovation potential.

2025-01-01T00:00:00Z