Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations

Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operations is an important safety and reliability concern. Excessive hawser tension may occur during certain environmental conditions, posing an operational risk. The novel deconvolution method is p...

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Main Authors: Oleg Gaidai, Xiaosen Xu, Yihan Xing
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123022004984
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author Oleg Gaidai
Xiaosen Xu
Yihan Xing
author_facet Oleg Gaidai
Xiaosen Xu
Yihan Xing
author_sort Oleg Gaidai
collection DOAJ
description Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operations is an important safety and reliability concern. Excessive hawser tension may occur during certain environmental conditions, posing an operational risk. The novel deconvolution method is proposed in this paper to provide an accurate extreme value prediction. The predicted return level values produced by the new deconvolution approach are compared with those obtained by the Naess-Gaidai method. On the basis of the suggested approach's overall performance, it is concluded that the innovative deconvolution method may give a more robust and accurate forecast of excessive hawser stress. The stated method may be used effectively at the stage of vessel design while determining appropriate vessel characteristics to reduce possible FPSO hawser stress.
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spelling doaj.art-7139cf97dd0249129f410344da8497f72022-12-22T03:53:30ZengElsevierResults in Engineering2590-12302023-03-0117100828Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operationsOleg Gaidai0Xiaosen Xu1Yihan Xing2Shanghai Engineering Research Center of Marine Renewable Energy, College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaJiangsu University of Science and Technology, Zhenjiang, ChinaUniversity of Stavanger, Norway; Corresponding author.Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operations is an important safety and reliability concern. Excessive hawser tension may occur during certain environmental conditions, posing an operational risk. The novel deconvolution method is proposed in this paper to provide an accurate extreme value prediction. The predicted return level values produced by the new deconvolution approach are compared with those obtained by the Naess-Gaidai method. On the basis of the suggested approach's overall performance, it is concluded that the innovative deconvolution method may give a more robust and accurate forecast of excessive hawser stress. The stated method may be used effectively at the stage of vessel design while determining appropriate vessel characteristics to reduce possible FPSO hawser stress.http://www.sciencedirect.com/science/article/pii/S2590123022004984Floating production storage and offloading (FPSO)Monte CarloSBS offloadingEnergy
spellingShingle Oleg Gaidai
Xiaosen Xu
Yihan Xing
Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
Results in Engineering
Floating production storage and offloading (FPSO)
Monte Carlo
SBS offloading
Energy
title Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
title_full Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
title_fullStr Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
title_full_unstemmed Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
title_short Novel deconvolution method for extreme FPSO vessel hawser tensions during offloading operations
title_sort novel deconvolution method for extreme fpso vessel hawser tensions during offloading operations
topic Floating production storage and offloading (FPSO)
Monte Carlo
SBS offloading
Energy
url http://www.sciencedirect.com/science/article/pii/S2590123022004984
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AT xiaosenxu noveldeconvolutionmethodforextremefpsovesselhawsertensionsduringoffloadingoperations
AT yihanxing noveldeconvolutionmethodforextremefpsovesselhawsertensionsduringoffloadingoperations