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Collision Risk Assessment

Marico Marine can perform analytical studies to quantify collision risk between vessels and either other vessels or fixed objects such as offshore wind farm or oil & gas structures.

Collision Risk Assessment

Marico has a track record of undertaking Collision Risk Assessments in support of new development installations, oil rig deployments and the assessment of partially decommissioned structures remaining in-situ.

Using best practice methodologies, Marico develops probabilistic vessel traffic models for investigating collision risks.

Studies begin with analysis of the baseline traffic profile to determine statistical descriptions of vessel traffic characteristics, enabling effects of future changes to be investigated.

Marico’s Data Analysts and Modellers are able to determine collision risk outputs for manoeuvring and drifting vessels:

  • Manoeuvrable Vessels:
    • Collision probability based on user defined routes, route transverse position distributions, vessel size and structure size and location
    • Oil outflow quantities resulting from collisions based on ship type and size
  • Drifting Vessel:
    • Monte Carlo simulation starting conditions based on traffic statistics
    • Drift direction and speed based on metocean conditions (wave, wind, current) and vessel type and loading condition
    • Structures in drift route of a vessel, including distance from the start of drift to earliest impact
    • Probability of successfully preventing impact based on time to impact and met-ocean conditions

Collision risk can also be determined using Domain Analysis and Encounter Modelling, a traffic simulation methodology developed by Marico.

This modelling approach creates a fast-time simulation of real vessel traffic to identify the locations where vessels encounter one another regularly, enabling robust quantitative modelling of the behaviour of vessels to determine the risk of collision.  

This approach been used in multiple projects and the methodology has been presented at academic and industry conferences and published in peer-reviewed Journal of the Royal Institute of Navigation.

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