Offloading operation bivariate extreme response statistics for FPSO vessel
Abstract The Floating Production Storage and Offloading unit (FPSO) is an offshore unit producing and storing crude oil prior to tanker transport. An important design concern is an accurate prediction of risky dynamic hawser tensions during FPSO offloading operations. Bivariate extreme hawser tensio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-31533-8 |
| _version_ | 1797859985519017984 |
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| author | Oleg Gaidai Yu Cao Xiaosen Xu Yihan Xing |
| author_facet | Oleg Gaidai Yu Cao Xiaosen Xu Yihan Xing |
| author_sort | Oleg Gaidai |
| collection | DOAJ |
| description | Abstract The Floating Production Storage and Offloading unit (FPSO) is an offshore unit producing and storing crude oil prior to tanker transport. An important design concern is an accurate prediction of risky dynamic hawser tensions during FPSO offloading operations. Bivariate extreme hawser tension contours are important for selecting proper design values. This paper employed the AQWA hydrodynamic software to analyze vessel hydrodynamic wave loads dynamic response, acting on FPSO vessels under realistic sea state conditions. This paper presents an efficient method for estimating FPSO bivariate response statistics based on numerical simulations validated by various experiments. The bivariate Average Conditional Exceedance Rate (ACER2D) method offers an accurate bivariate extreme value probability distribution and return period contours estimation, utilizing available data efficiently. The two-dimensional probability contours, corresponding to low probability return periods, are easily obtained by the ACER2D method. The performance of the presented method has shown that the ACER2D method provides an efficient and accurate prediction of extreme return period contours. The suggested approach may be used for FPSO vessel design, minimizing potential FPSO hawser damage. Bivariate contours yield bivariate design points, as opposed to a pair of uncoupled univariate design points with the same return period as currently adopted in the industry. |
| first_indexed | 2024-04-09T21:38:27Z |
| format | Article |
| id | doaj.art-dc0dcb3f76e14a448ca47ef87d5bf823 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T21:38:27Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-dc0dcb3f76e14a448ca47ef87d5bf8232023-03-26T11:10:02ZengNature PortfolioScientific Reports2045-23222023-03-0113111010.1038/s41598-023-31533-8Offloading operation bivariate extreme response statistics for FPSO vesselOleg Gaidai0Yu Cao1Xiaosen Xu2Yihan Xing3Shanghai Ocean UniversityShanghai Ocean UniversityJiangsu University of Science and TechnologyUniversity of StavangerAbstract The Floating Production Storage and Offloading unit (FPSO) is an offshore unit producing and storing crude oil prior to tanker transport. An important design concern is an accurate prediction of risky dynamic hawser tensions during FPSO offloading operations. Bivariate extreme hawser tension contours are important for selecting proper design values. This paper employed the AQWA hydrodynamic software to analyze vessel hydrodynamic wave loads dynamic response, acting on FPSO vessels under realistic sea state conditions. This paper presents an efficient method for estimating FPSO bivariate response statistics based on numerical simulations validated by various experiments. The bivariate Average Conditional Exceedance Rate (ACER2D) method offers an accurate bivariate extreme value probability distribution and return period contours estimation, utilizing available data efficiently. The two-dimensional probability contours, corresponding to low probability return periods, are easily obtained by the ACER2D method. The performance of the presented method has shown that the ACER2D method provides an efficient and accurate prediction of extreme return period contours. The suggested approach may be used for FPSO vessel design, minimizing potential FPSO hawser damage. Bivariate contours yield bivariate design points, as opposed to a pair of uncoupled univariate design points with the same return period as currently adopted in the industry.https://doi.org/10.1038/s41598-023-31533-8 |
| spellingShingle | Oleg Gaidai Yu Cao Xiaosen Xu Yihan Xing Offloading operation bivariate extreme response statistics for FPSO vessel Scientific Reports |
| title | Offloading operation bivariate extreme response statistics for FPSO vessel |
| title_full | Offloading operation bivariate extreme response statistics for FPSO vessel |
| title_fullStr | Offloading operation bivariate extreme response statistics for FPSO vessel |
| title_full_unstemmed | Offloading operation bivariate extreme response statistics for FPSO vessel |
| title_short | Offloading operation bivariate extreme response statistics for FPSO vessel |
| title_sort | offloading operation bivariate extreme response statistics for fpso vessel |
| url | https://doi.org/10.1038/s41598-023-31533-8 |
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