Improving extreme response prediction of a subsea shuttle tanker hovering in ocean current using an alternative highly correlated response signal
LQR
Technology
Extreme responses
Submarine
T
Bivariate probability distribution
bivariate probability distribution
01 natural sciences
subsea technology
submarine
0103 physical sciences
Subsea technology
Bivariate correction method
extreme responses
14. Life underwater
VDP::Technology: 500::Materials science and engineering: 520
bivariate correction method
DOI:
10.1016/j.rineng.2022.100593
Publication Date:
2022-08-24T05:53:26Z
AUTHORS (3)
ABSTRACT
A subsea shuttle tanker (SST) is a pioneering underwater submarine specifically designed to economically transport CO2 to smaller hydrocarbon fields. During loading and unloading of the CO2, the SST hovers over the well and experiences extreme heave motions resulting in extreme hydrostatic loading. Sustaining the hydrostatic loading is indispensable as it forms the dominating load and is a driving factor determining the SST hull's collapse design. Furthermore, the SST's extreme surge motion regulates the length of the flowline to evade snap loads. This paper focuses on the problem of determining these extreme positional responses at one location when the aft thruster fails during offloading using data with a shorter time record from another location at the SST. This scenario could be of practical engineering importance when either one of the sensors is malfunctioning or another similar vessel is being designed for the same environmental condition. A 2D planar Simulink model is used to generate the empirical data required for the study.
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