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PreprintCC BY 4.0arXiv

Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions

Abstract

Maritime disruption planning requires joint strategic storage and transport capacity decisions under uncertainty. We develop a two-stage stochastic multi-commodity network-design model for national energy security that integrates corridor commitments, port--commodity inventories, storage expansion, and scenario-dependent routing for crude oil, LNG, LPG, and fertilizer. The formulation incorporates decision-dependent probabilities, corridor concentration limits, and mean--CVaR risk, admitting an exact MILP reformulation. In a data-anchored India-inspired case study, stochastic modeling outperforms the expected-value policy by 1.35%, with decision-dependent probabilities worth 0.67%. Service levels are heterogeneous: crude and fertilizer maintain full coverage, while LNG and LPG drop to 34.6% and 33.3% under worst-case scenarios. Storage expansion adds 1,775 capacity units across seven port--commodity pairs and reduces active corridor commitments. Sensitivity analyses demonstrate that dependence alters economic exposure while preserving policy optimality, though cost stresses modify first-stage decisions with a maximum regret of 1.1673%.

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BibTeX
@misc{sharma2026securing,
  title = {{Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions}},
  author = {Monit Sharma and Hoong Chuin Lau},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2605.11990},
  eprint = {2605.11990},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.11990},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions
AU  - Monit Sharma
AU  - Hoong Chuin Lau
PY  - 2026
DA  - 2026/10/16
PB  - arXiv
DO  - 10.48550/arxiv.2605.11990
UR  - https://arxiv.org/abs/2605.11990
AB  - Maritime disruption planning requires joint strategic storage and transport capacity decisions under uncertainty. We develop a two-stage stochastic multi-commodity network-design model for national energy security that integrates corridor commitments, port--commodity inventories, storage expansion, and scenario-dependent routing for crude oil, LNG, LPG, and fertilizer. The formulation incorporates decision-dependent probabilities, corridor concentration limits, and mean--CVaR risk, admitting an exact MILP reformulation. In a data-anchored India-inspired case study, stochastic modeling outperforms the expected-value policy by 1.35%, with decision-dependent probabilities worth 0.67%. Service levels are heterogeneous: crude and fertilizer maintain full coverage, while LNG and LPG drop to 34.6% and 33.3% under worst-case scenarios. Storage expansion adds 1,775 capacity units across seven port--commodity pairs and reduces active corridor commitments. Sensitivity analyses demonstrate that dependence alters economic exposure while preserving policy optimality, though cost stresses modify first-stage decisions with a maximum regret of 1.1673%.
ER  -