Underwater Vehicles and Communication Systems Open access

Optimal Placement of Docking Stations and Resident AUVs for Subsea Pipeline Inspection

Gabrielė Kasparavičiūtė, Pasquale Grippa, Kjetil Skaugset, Asgeir J. Sørensen and 1 more

arXiv (Cornell University) | Jul 22, 2026

Abstract

Abstract

A two-stage mixed-integer linear programming framework is introduced for subsea pipeline incident response planning, jointly optimizing Subsea Docking Plate (SDP) placement and resident autonomous underwater vehicle allocation to minimize both maximum and average response times under spatial uncertainty. Phase 1 minimizes the maximum response time across all potential leak locations. Phase 2 reduces the average response time subject to the maximum bound. A case study based on the Johan Sverdrup oil and gas field in Norway, with 9 SDP options and 33 pipelines, shows that just a few well-placed SDPs are enough to achieve top performance. A cost versus time Pareto analysis reveals the trade-off between deployment expenditure and response efficiency, providing actionable guidance for designing resilient and cost-effective subsea inspection networks.

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Authors

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Gabrielė Kasparavičiūtė

first

Pasquale Grippa

middle | ORCID 0000-0003-2733-1283

Kjetil Skaugset

middle

Asgeir J. Sørensen

middle

Martin Ludvigsen

last

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Citation

BibTeX

@article{Kasparaviit2026Optimal,
  title = {Optimal Placement of Docking Stations and Resident AUVs for Subsea Pipeline Inspection},
  author = {Gabrielė Kasparavičiūtė and Pasquale Grippa and Kjetil Skaugset and Asgeir J. Sørensen and Martin Ludvigsen},
  journal = {arXiv (Cornell University)},
  year = {2026},
  doi = {10.48550/arxiv.2607.19944},
  url = {https://doi.org/10.48550/arxiv.2607.19944}
}

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