摘要
FPSO集生产、储油、卸油于一体,自从出现以来,由于其灵活性和经济性,已经成为海上油田开发的主要设备.根据搜集的VLCC和FPSO的资料,提出了适用于30万t级FPSO的船体钢料重量估算公式,指出了各船型参数对此类船舶船体钢料重量的影响,并以船体钢料重量为目标,建立了30万t级FPSO船型参数的多目标优化数学模型,根据最小偏差法原理结合遗传算法,实现了该船型的主尺度优化.所得结果表明此方法适用于大型FPSO和VLCC的主尺度优化问题.
FPSO, a floating entity capable of producing, storing, and offloading oil, has been taken as one of the most indispensable equipment for the ocean oilfield exploration, due to its flexibility and economy, since its first emergence. Base on the currently available data regarding to VLCC and FPSO, in this paper a function has been proposed to estimate the hull weight of 300,000 dwt FPSO, and the influence of various hull form parameters has also been discussed. Furthermore, a multi-objective optimization model, taking the hull weight as the object, is developed based on various ship form parameters. An optimization of FPSO principal dimensions has also been achieved according to the proposed model on the basis of minimum deviation algorithm coupled with genetic algorithm and the reliability of this model being suitable for optimization of FPSO and VLCC principal dimensions has been well verified .
出处
《武汉理工大学学报（交通科学与工程版）》
2009年第3期426-429,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
上海市引进技术吸收与创新计划项目资助(批准号:03XC23-01)
关键词
FPSO
船体钢料重量
主尺度优化
遗传算法
FPSO
hull weight
principle dimensions optimization
genetic algorithm
