The Floating Production Storage and Offloading Unit (FPSO) is an offshore vessel that produces and stores crude oil prior to tanker transport.

Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operation is an important safety concern. Excessive hawser tension may occur during offloading operations, posing an operational risk. In this paper, AQWA has been used to analyze vessel response due to hydrodynamic wave loads, acting on a specific FPSO vessel under actual sea conditions. Experimental validation of numerical results has been discussed as well.

This paper advocates methodology for estimating extreme response statistics, based on simulations (or measurements). The modified ACER (averaged conditional exceedance rate) method is presented in brief detail. Proposed methodology provides an accurate extreme value prediction, utilizing all available data efficiently. In this study the estimated return level values, obtained by ACER method, are compared to the corresponding return level values obtained by Gumbel method. Based on the overall performance of the proposed method, it is concluded that the improved ACER method can provide more robust and accurate prediction of the extreme hawser tension.

Data declustering issue has been addressed. Paper highlights ability of ACER method to account for a set of varying sea state probabilities, as required in engineering long term statistical analysis.

Described approach may be well used at the vessel design stage, while defining optimal vessel parameters that would minimize potential FPSO hawser tension.

浮动生产储存和卸载装置（FPSO）是一艘海上船舶，可在油轮运输之前生产和储存原油。

对浮式生产储油和卸油（FPSO）操作期间极端锚索张力的可靠预测是重要的安全考虑。在卸货操作过程中，可能会出现过大的拉力，从而构成操作风险。在本文中，AQWA已用于分析在实际海况下作用于特定FPSO船上的流体动力波载荷引起的船响应。还讨论了数值结果的实验​​验证。

本文提倡基于模拟（或测量）估算极端响应统计量的方法。简要介绍了改进的ACER（平均条件超出率）方法。拟议的方法可以有效利用所有可用数据，从而提供准确的极值预测。在本研究中，将通过ACER方法获得的估算收益水平值与通过Gumbel方法获得的相应收益水平值进行比较。基于所提方法的整体性能，可以得出结论，改进的ACER方法可以提供更强大，更准确的极端锚索张力预测。

数据分簇问题已解决。论文重点介绍了ACER方法能够解决工程长期统计分析所要求的一组变化的海况概率的能力。

所描述的方法可能在容器设计阶段很好地使用，同时定义了最佳的容器参数，该参数将使潜在的FPSO锚索张力最小化。