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Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria

机译：嵌入式遗传算法在海底管道优化设计中的应用

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摘要

This work describes a computational tool, based on an evolutionary algorithm, for the synthesis and optimization of submarine pipeline routes considering the incorporation of on-bottom stability criteria (OBS). This comprises a breakthrough in the traditional pipeline design methodology, where the definition of a route and the stability calculations had been performed independently: firstly, the route is defined according to geographical-topographical issues (including manual/visual inspection of seabed bathymetry and obstacles); afterwards, stability is verified, and mitigating procedures (such as ballast weight) are specified. This might require several design spirals until a final configuration is reached, or (most commonly) has led to excessive costs for the mitigation of instability problems. The optimization tool evaluates each candidate route by incorporating, as soft and hard constraints, several criteria usually considered in the manual design (pipeline length, bathymetry data, obstacles); also, with the incorporation of OBS criteria into the objective function, stability becomes an integral part of the optimization process, simultaneously handling minimization of length and cost of mitigating procedures. Case studies representative of actual applications are presented. The results show that OBS criteria significantly influences the best route, indicating that the tool can reduce the design time of a pipeline and minimize installation/operational costs.
机译：这项工作描述了一种基于进化算法的计算工具，用于考虑并入了底部稳定标准（OBS）的海底管道路线的综合和优化。这包括对传统管道设计方法的突破，其中路线的定义和稳定性计算是独立执行的：首先，根据地理地形问题（包括对海底测深和障碍物进行手动/视觉检查）定义路线;之后，将验证稳定性，并指定缓解程序（例如压舱物重量）。这可能需要多次设计螺旋，直到达到最终配置，或者（最常见的情况）导致减轻不稳定问题的成本过高。该优化工具通过将通常在手动设计中考虑的几个标准（管道长度，测深数据，障碍物）作为软约束和硬约束合并在一起来评估每个候选路线。另外，通过将OBS标准纳入目标函数，稳定性成为优化过程的必要组成部分，同时可以最大限度地减少长度和减轻过程的成本。介绍了代表实际应用的案例研究。结果表明，OBS标准会极大地影响最佳路线，这表明该工具可以减少管道的设计时间并最大程度地减少安装/运营成本。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|1781758.1-1435463.21|共21页
  • 作者

    Baioco Juliana Souza; Alves de Lima Mauro Henrique Jr.; Albrecht Carl Horst; Leite Pires de Lima Beatriz Souza; Jacob Breno Pinheiro; Rocha Djalene Maria;

  • 作者单位

    Univ Fed Rio de Janeiro, Postgrad Inst, Lab Comp Methods & Offshore Syst LAMCSO, Civil Engn Dept,PEC COPPE UFRJ, Ave Pedro Calmon S-N,Cidade Univ, BR-21941596 Rio De Janeiro, RJ, Brazil;

    Univ Fed Rio de Janeiro, Postgrad Inst, Lab Comp Methods & Offshore Syst LAMCSO, Civil Engn Dept,PEC COPPE UFRJ, Ave Pedro Calmon S-N,Cidade Univ, BR-21941596 Rio De Janeiro, RJ, Brazil;

    Univ Fed Rio de Janeiro, Postgrad Inst, Lab Comp Methods & Offshore Syst LAMCSO, Civil Engn Dept,PEC COPPE UFRJ, Ave Pedro Calmon S-N,Cidade Univ, BR-21941596 Rio De Janeiro, RJ, Brazil;

    Univ Fed Rio de Janeiro, Postgrad Inst, Lab Comp Methods & Offshore Syst LAMCSO, Civil Engn Dept,PEC COPPE UFRJ, Ave Pedro Calmon S-N,Cidade Univ, BR-21941596 Rio De Janeiro, RJ, Brazil;

    Univ Fed Rio de Janeiro, Postgrad Inst, Lab Comp Methods & Offshore Syst LAMCSO, Civil Engn Dept,PEC COPPE UFRJ, Ave Pedro Calmon S-N,Cidade Univ, BR-21941596 Rio De Janeiro, RJ, Brazil;

    Petr Brasileiro SA Petrobras, Res & Dev Ctr CENPES, Ave Horacio Macedo 950,Cidade Univ, BR-21941915 Rio De Janeiro, RJ, Brazil;

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