Fatigue damage assessment methodology for a deepwater subsea wellhead based on monitoring data

Wang, Jinlong; Sheng, Leixiang; Geng, Yanan; Wang, Mingchun; Wang, Yu; Li, Yanwei; Liu, Xiuquan

doi:10.1080/17445302.2023.2260956

Ships and Offshore Structures

2023

DOI: 10.1080/17445302.2023.2260956

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Fatigue damage assessment methodology for a deepwater subsea wellhead based on monitoring data

Jinlong Wang,

Leixiang Sheng,

Yanan Geng

et al.

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2024

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Underwater Line Monitoring Using Optimally Placed Inclinometers

Jin,

Hong

2024

JMSE

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Underwater monitoring presents challenges related to maintaining a continuous power supply and communication, necessitating the use of a smaller number of sensors to effectively cover the entire line. An underwater line tracking method is proposed to evaluate global behaviors and stresses in real time. The method employs angles at several points on the line, as well as displacements and curvatures at both ends. In this method, any line displacement, angle, and curvature are expressed as Fourier series, and Fourier coefficients are obtained by utilizing sensor data. Then, the behavior of any line location is assessed. In addition, to reduce the number of sensors and improve accuracy, optimal inclinometer locations are determined by a genetic algorithm. The proposed line tracking algorithm was validated through two numerical examples; one with an inclined tunnel and one with a marine steel catenary riser attached to a Floating Production Storage and Offloading (FPSO) vessel. Through these examples, the proposed algorithm was proven to capture global behaviors accurately when optimally located sensors are used. In the riser monitoring case, the optimized sensor placement with eight intermediate sensors achieved an average mean distance error of 1.91 m, which is lower than the 2.65 m error obtained with ten intermediate sensors without optimization.

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Underwater Line Monitoring Using Optimally Placed Inclinometers

Jin,

Hong

2024

JMSE

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Fatigue damage assessment methodology for a deepwater subsea wellhead based on monitoring data

Cited by 1 publication

References 20 publications

Underwater Line Monitoring Using Optimally Placed Inclinometers

Underwater Line Monitoring Using Optimally Placed Inclinometers

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