Investigation on diffusion characteristic of leaked oil in the thermal insulation layer of submarine pipe-in-pipe-Reference-Cited by-同舟云学术

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Investigation on diffusion characteristic of leaked oil in the thermal insulation layer of submarine pipe-in-pipe

Published:2021-10-02 Issue: Volume: Page:1-12
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Chen Hongkun¹²,Pu Yu³⁴^ORCID,Hu Baizhong⁵,Tang Peilin⁵,Wang Zhansheng¹²,Zhang Zipeng²,Li Dong³

Affiliation:

1. State Key Laboratory of Petroleum Pollution Control, Beijing, People’s Republic of China

2. CNPC Research Institute of Safety and Environment Technology, Beijing, People’s Republic of China

3. School of Architecture and Civil engineering, Northeast Petroleum University, Daqing, People’s Republic of China

4. Key Laboratory of Enhanced Oil and Gas Recovery of Ministry of Education, Northeast Petroleum University, Daqing, People’s Republic of China

5. PetroChina Zhejiang Oilfield Company, Hangzhou, People’s Republic of China

Funder

Open Project Program of State Key Laboratory of Petroleum Pollution Control

CNPC Research Institute of Safety and Environmental Technology

PetroChina Innovation Foundation

Open project of MOE Key Laboratory for Enhanced Oil and Gas Recovery

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2021.1979721

Reference28 articles.

1. Reynolds-Averaged Navier–Stokes Equations for Turbulence Modeling

2. Dynamic Response of Pressurized Submarine Pipelines Subjected To Transverse Impact Loads

3. Thermal expansion of pipe-in-pipe systems

4. Numerical study of underwater fate of oil spilled from deepwater blowout

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1. The influence of the outer pipe during internal MFL detection in subsea steel pipe-in-pipe;Journal of Magnetism and Magnetic Materials;2024-06

2. Advanced thermal fluid leakage detection system with machine learning algorithm for pipe-in-pipe structure;Case Studies in Thermal Engineering;2023-02

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