FPSO船体建造工艺与应用

通过对比浮式生产储卸油装置(Floating Production Storage and Offloading, FPSO)与常规船体的不同,对船体主甲板结构提出新要求,同时新增加模块支墩、单点舱等结构。结合FPSO建造技术要求,对船体分段进行有限元分析、合理确定分段缝,对单点舱区域坞墩进行布置设计,并针对单点舱、模块支墩等特殊结构进行专项施工工艺分析,制订可行性工艺方案及精度控制措施。通过工程实践,关键结构单点舱、模块支墩均满足建造精度要求,此工艺可为后续类似海洋结构建造提供参考。     

FPSO内孤立波载荷实验观测及理论预报模型研究

利用大型密度分层水槽开展了下凹型内孤立波作用在FPSO上的载荷特性系列实验;并依据实验工况,考虑KdV、eKdV和MCC内孤立波理论的适用性条件,数值研究了FPSO内孤立波载荷成分构成;基于实验结果和载荷成分构成,建立了FPSO内孤立波载荷的理论预报模型.研究表明:FPSO内孤立波水平载荷由粘性力和Froude-Krylov力组成,而垂向载荷主要为垂向Froude-Krylov力;Froude-Krylov力可通过动压力沿FPSO浮体湿表面积分得到,粘性力则通过经实验回归的摩擦系数Cf、形状修正因数K乘以内孤立波诱导水质点切向速度沿FPSO浮体湿表面积分得到.系列实验结果得出:摩擦系数Cf和形状修正因数K与雷诺数Re、KC数和流体层深度比h1/h有关;摩擦系数与Re呈自然对数关系;而形状修正因数K与KC数呈幂函数关系.理论预报模型预报的水平载荷、垂向载荷结果均与系列实验和数值结果吻合较好,并且发现随着内孤立波振幅的增加,载荷幅值近乎线性增加,而且上层流体深度对水平力幅值有明显的影响.     

Strain prediction for critical positions of FPSO under different loading of stored oil using GAIFOA-BP neural network

FPSO (floating, production, storage and offloading) units are widely used in the offshore oil and gas industry. Generally, FPSOs have excellent oil storage capacity owing to their huge oil cargo holds. The volume and distribution of stored oil in the cargo holds influence the strain level of hull girder, especially at critical positions of FPSO. However, strain prediction using structural analysis tools is computationally expensive and time consuming. In this study, a prediction tool based on back-propagation (BP) neural network called GAIFOA-BP is proposed to predict the strain values of concerned positions of an FPSO model under different oil storage conditions. The GAIFOA-BP combines BP model and GAIFOA which is a combination of genetic algorithm (GA) and an improved fruit fly optimization algorithm (IFOA). Results from three benchmark tests show that the GAIFOA-BP model has a remarkable performance. Subsequently, a total of 81 sets of training data and 25 sets of testing data are obtained from experiment using fiber Bragg grating (FBG) sensors installed on the surface of an FPSO model. The numerical results show that the GAIFOA-BP is capable of predicting the strain values with higher accuracy as compared with other BP models. Finally, the reserved GAIFOA-BP model is utilized to predict the strain values under the inputs of a 10-day time series of volume and distribution of stored oil. The predicted strain results are further used to calculate the fatigue consumption of measurement points.     

基于改进BP-GA方法的FPSO舷侧结构耐撞性能优化设计

基于遗传算法和ABAQUS参数化有限元仿真技术,对传统的BP-GA优化方法进行改进,并采用改进的BP-GA方法对浮式生产储油卸油装置(FPSO)舷侧结构的耐撞性能进行优化,以验证其可行性和准确性。结果表明,与传统的BP神经网络相比,经遗传算法优化的BP神经网络具有更高的预测精度和更强的泛化能力;改进的BP-GA优化方法可在结构减重的基础上进一步提高结构的耐撞性能,能较好地适用于复杂的FPSO舷侧结构耐撞性优化设计。采用的优化方法具有通用性,可为抗爆性能的优化设计提供参考。     

Extreme hawser tension assessment for FPSO vessel during offloading operation in Bohai bay

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.     

西非海域FPSO多点系泊系统的疲劳寿命分析

文章首先采用三维频域理论分析西非海域FPSO的水动力性能,得到船体各自由度的运动响应,慢漂载荷,附加质量和势流阻尼等;随后,利用分块法将波浪散点图离散为若干个海况,基于准动态方法对多点系泊系统进行分析,得到各海况下船体的漂移和各系泊缆的张力;最后,结合前两步的计算结果,采用T-N曲线,雨流计数和Miner线性累计损伤理论对系泊缆的疲劳寿命进行预报。研究结果表明,各系泊缆的疲劳寿命沿长度方向的分布趋势基本一致,锚链顶端和触底部分的疲劳寿命较短。此外,西非海域的涌浪对系泊缆的疲劳损伤较大,系泊设计时应予以重点关注。     

南海某FPSO STP单点系泊系统的再评估

本文针对一艘中国南海北部服役的STP(Submerged Turret Production)内转塔单点FPSO在极端环境条件下单点静密封失效问题进行了分析。STP浮筒静密封主要依靠浮筒上端液压大钳的预紧力、浮筒与舱壁的静摩擦力等来抵抗系泊系统的载荷,从而保证浮筒与船体舱壁的紧密贴合。本文进行了新旧百年一遇环境条件作用下系泊系统载荷评估分析,比较结果可以发现：在新的百年一遇条件作用下,单点系泊系统的最大系泊缆张力增加31%,相应地系泊系统作用在锚链盘的平面载荷增加33%,垂向载荷增加12%。进一步地进行了新环境条件下两百年一遇极端环境作用下的系泊系统响应分析,比较结果可以发现：两百年一遇环境条件作用下,平台平面位移、系泊缆最大张力以及系泊载荷均出现了不同程度的增加,此时系泊缆已不能满足系泊系统完整状态的安全系数要求。分析结果表明：该FPSO的STP静密封系统在新的环境条件下存在较大失效风险,有必要对液压锁紧装置进行优化和加强设计,浮筒与舱壁有必要重新进行结构强度评估。     

多成份缆索静力特性测量及调整

针对一工作水深为160m的转塔式FPSO的系泊缆索,研究了在空气中测量和调整多成份系泊缆索静力特性的方法,并在模型试验水池中测量了经过调整的系泊缆索的静力特性,其结果与期望值符合程度令人满意.因此,可认为采用此法测量及调整多成分缆索的静力特性是适宜的.     

FPSO节点焊趾处的裂纹修理形状研究

对焊缝处出现的裂纹进行修理以阻止其进一步扩展,能够有效地延长FPSO焊接结构的疲劳寿命.考虑到应力集中而造成的疲劳寿命的降低,要谨慎选取修理时所采用的形状和尺寸,避免在修理后产生的表面缺陷处出现过高的应力集中.文中旨在进行三维T型焊接节点焊趾处的裂纹修理分析,为了选取合理的修理切口,首先对不同几何形状和尺寸的二维焊接修理切口,如抛物线型和椭圆型等,进行了应力集中系数的计算,并与相类似尺寸的U型切口的计算结果进行了比较.结果表明,当切口的表面半宽长于其深度时,椭圆型的裂纹修理切口具有更低的应力集中系数.随后,选择应力集中较小的椭圆型和U型切口焊接修理形状,并采用更加精确的三维有限元分析方法进行分析,给出了通过打磨等修理方式消除裂纹后得到的三维表面缺陷的应力集中系数,为工程上焊趾处裂纹的修理提供决策依据.     

降低FPSO含裂纹焊接结构应力集中系数的焊接修理形状的研究

对焊缝处出现的裂纹进行焊接修理,以阻止其进一步的扩展,这一方法能够有效地延长FPSO焊接结构的疲劳寿命.考虑到应力集中而造成的疲劳寿命的降低,要谨慎选取焊接修理所采用的形状和尺寸,避免产生过高的应力集中.在本文中,研究了不同几何形状和尺寸的二维焊接修理切口的应力集中系数,如抛物线型和椭圆型等,并与相类似尺寸的U型切口进行了比较.当切口的表面半宽长于其深度时,椭圆型的裂纹修理切口具有更低的应力集中系数.将椭圆型的焊接修理形状用于补板与纵骨的连接处,以计算进行焊接修理消除裂纹后结构的最大主应力.结果表明,在消除产生的裂纹以后,含焊接修理切口的结构可以恢复到初始的应力状态.