TurkStream Technological Advancements

被引:0
作者
Jurdik, Erich [1 ]
Aksyutin, Oleg [1 ]
Hugaas, Bjorn-Andreas [2 ]
Liu, Ping [3 ]
机构
[1] South Stream Transport BV, Amsterdam, Netherlands
[2] DNV AS, Hovik, Norway
[3] INTECSEA BV, The Hague, Netherlands
关键词
TurkStream; technological advancements; very thick wall; ultra-deep water; gas transmission; record setting; pipeline;
D O I
10.17736/ijope.2022.jc880
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The TurkStream offshore pipeline has been one of the most challenging projects in the offshore oil and gas industry in the last decade. It is a major gas-transmission system that is pivotal to the transport of natural gas from the large Siberian reservoirs to the Turkish and European markets. The system consists of two subsea pipeline strings of more than 900 km each that cross the Black Sea through water depths of up to 2,200 m. Its large outer diameter of 32 inches makes it possible to transport a massive amount-31.5 billion cubic metres-of natural gas per year from the Russian to the Turkish shore. A very thick wall of 39 mm is needed to ensure structural integrity. The sheer size of the system and the conditions in which it operates come with many challenges. Several are discussed in this paper, which focuses on the work carried out between 2010 and 2019, before the pipeline commenced operations. Available technologies had to be advanced to the next level on many fronts to ensure the success of this project.
引用
收藏
页码:257 / 266
页数:10
相关论文
共 16 条
[1]  
[Anonymous], 2017, PROC 27 INT OCEAN PO
[2]  
[Anonymous], 2014, OFFSH PIP TECHN C AM
[3]  
[Anonymous], 2016, PROC 26 INT OCEAN PO
[4]  
[Anonymous], 2018, PROC 28 INT OCEAN PO
[5]  
[Anonymous], 2014, P 33 INT C OC OFFSH, DOI DOI 10.1115/OMAE2014-23869
[6]  
Chaudhuri J, 2020, PROC 30 INT OCEAN PO, V2, P1331
[7]  
Chaurial M, 2012, OFFSHORE PIPELINE TE
[8]  
Det Norske Veritas (DNV), 2010, DNVOSF101 DET NORSK
[9]  
Dronkers T, 2010, DEEP OFFSHORE TECHNO
[10]   Improved estimation of ultra-deep water pipe collapse pressures by using extreme value theory [J].
Heffernan, Janet E. ;
Walker, Alastair ;
Liu, Ping .
QUALITY ENGINEERING, 2019, 31 (03) :363-374