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

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 d...

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Bibliographic Details
Published in:Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-21
Main Authors: Jacob, Breno Pinheiro, de Lima, Beatriz Souza Leite Pires, Albrecht, Carl Horst, de Lima, Mauro Henrique Alves, Baioco, Juliana Souza, Rocha, Djalene Maria
Format: Article
Language:English
Subjects:
Automation
Ballast
Barriers
Computer programs
Configuration management
Design optimization
Engineering
Engineers
Evolutionary algorithms
Genetic algorithms
International conferences
Offshore
Optimization
Petroleum production
Pipeline design
Spirals
Stability
Stability analysis
Stability criteria
Underwater pipelines
Underwater structures
Variables
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Summary: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.
ISSN:1024-123X
1563-5147
DOI:10.1155/2018/1781758