唐达

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:大连理工大学

学位:硕士

所在单位:计算机科学与技术学院

电子邮箱:tangda@dlut.edu.cn

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Current profile analysis and extreme value prediction in the LH11-1 oil field of the South China Sea based on prototype monitoring

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论文类型:期刊论文

发表时间:2018-04-01

发表刊物:OCEAN ENGINEERING

收录刊物:SCIE、EI

卷号:153

页面范围:60-70

ISSN号:0029-8018

关键字:South China Sea; Current; Profile characteristic; Prototype monitoring; ACER; Extreme prediction

摘要:Current is a key ocean-environmental factor and exhibits strong non-stationary random characteristics. The complexities of current modeling present significant challenges for deep sea oil exploitation. The multiyear return period extreme current model is one of the key factors for the reliable design of marine structures. Recently, due to limitations of design specifications and guidelines, improved methods to predict extreme values for the South China Sea based on prototype monitoring are required. In contrast to the traditional extreme value analytical method, the newly developed Average Conditional Exceedance Rate (ACER) method is robust and shows good accuracy for estimations of ocean environmental loading. The method offers good reliability for short-term prototype monitoring data. This study performs multiyear return period extreme value prediction of the current profile based on prototype monitoring data collected in the Liuhua (LH11-1) oil field that was recorded by an in-situ monitoring system. The 1-year and 10-year return period current velocity design indexes were obtained using the ACER method. The present current velocity profiles of multi-year return periods were compared with two design current load indexes of two floating platforms in Liuhua area. The consistency with comparison to TLP platform design indexes shows that the ACER method provides the accuracy and flexibility of the results needed in the construction of current load models in the South China Sea. These results could provide the basis and reference for the design of offshore structure.