The long term analysis is performed to predict the hull global motion and mooring strength of a Spar platform and the results from long term analysis are compared with the predictions from the short term analysis. The long term motions are also used to investigate the long term riser strength response in Ref. [5]. The results includes the lateral offset, heel angle, heave motion and the mooring line tension at the fairleads. In the short term analysis, the environment events with various return periods and various realizations are considered for each environment load. The Gumbel fitting is used to predict the extreme response. In the long term analysis methodology, the prediction of the global performance and the mooring tension are based on 56-year hindcast wind and wave data with 3-hour intervals. Weibull fitting is used to predict the extreme response for various return periods. The comparison between the long term and the short term predictions indicate that the short term predictions are generally conservative compared to the more accurate, but computationally expensive long term analysis method. The long term methodology is not widely adopted currently due to the computation inefficiency. However, it is expected that this long term methodology could provide a better option in the future with the consideration of its accuracy and the application of high speed computer.
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ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering
June 19–24, 2016
Busan, South Korea
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-4992-7
PROCEEDINGS PAPER
Global Performance and Mooring Analysis Using Long Term Analysis Methodology
Oddgeir Dalane
Oddgeir Dalane
Statoil, Trondheim, Norway
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Mubing Xu
Technip USA, Houston, TX
Anil Sablok
Technip USA, Houston, TX
Oddgeir Dalane
Statoil, Trondheim, Norway
Paper No:
OMAE2016-54303, V001T01A043; 8 pages
Published Online:
October 18, 2016
Citation
Xu, M, Sablok, A, & Dalane, O. "Global Performance and Mooring Analysis Using Long Term Analysis Methodology." Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. Volume 1: Offshore Technology; Offshore Geotechnics. Busan, South Korea. June 19–24, 2016. V001T01A043. ASME. https://doi.org/10.1115/OMAE2016-54303
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