老化FPSO船体结构腐蚀速率的估算方法

Vicente d’Orema Albuquerque Larangeira, P. Videiro, José Alfredo Ferrari Júnior, L. Sagrilo
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引用次数: 1

摘要

本文提出了一种估算浮式、生产、储存和卸载(FPSO)平台船体在一般腐蚀下厚度损失的方法。主要目的是根据之前的寿命检查结果,确定fpso结构重新评估的特征腐蚀速率。钢的磨损产生截面损失和承载力降低,可能导致结构破坏。能够估计FPSO的板和加强板在整个使用寿命期间的厚度,将大大提高整个行业的安全性,使运营商和船级社受益。在本研究中,研究了不同的模型来定义所提出的方法:(a)模型a (Garbatov和Soares [1,2]);(b)模型b (Melchers等人[3-11])和模型C (Paik等人[12,16]),模型C被认为更适合本研究。基于Paik等人(2003)提出的方法认为,在FPSO的使用寿命期间,检查中的厚度损失读数结果可以用Weibull模型建模。然后,将该模型应用于FPSO延长寿命结构再评估的特征腐蚀速率估计。在巴西Campos盆地海上作业的典型改装FPSO单体船体的四个结构部件中,提出了该方法的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach for Estimating the Corrosion Rates on Aging FPSO Hull Structures
This paper presents a methodology to estimate the thickness loss on hulls of Floating, Production, Storage and Offloading (FPSO) platforms under general corrosion. The main purpose is to define characteristic corrosion rates for structural reassessment of the extension of life of FPSOs considering results of previous in-life inspections. The steel wear generates sectional loss and capacity reduction, possibly leading to structural failure. Being capable of estimating FPSO’s plates and stiffeners thickness along the operational life would be a considerable safety improvement for the whole industry, benefiting operators and classifications societies. During this research, different models were investigated to define the proposed methodology: (a) Model A (Garbatov and Soares [1,2]); (b) Model B (Melchers et al. [3–11] and, the one considered more appropriate to this study, Model C (Paik et al. [12,16]). The proposed approach, based on Paik et al (2003), considers that the results of thickness loss readings in inspections during the operational life of the FPSO may be modeled by the Weibull model. Then, this model is applied to estimate the characteristic corrosion rate for the structural reassessment of FPSO extension life. Results of the proposed methodology are presented for four structural components of a typical converted FPSO single hull in operation at Campos Basin, Brazil offshore.
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