bmo offshore




Vessel Motion Monitor System (CTV)

The BMO VMMS is a reliable tool for the collection, storage and remote access of operational vessel data. The toolset design leverages your measurement data to improve:

  • Safety of operations
  • Transparency of vessel costs vs. performance
  • Fleet selection
  • Scheduling selectiveness
  • OEM wind turbine logistics contractual performance
  • Wind farm production


The Argus (SOV)

Our newest product, the BMO ARGUS Vessel Box, is specifically designed for SOV's. The Argus offers an integrated data management package tailored to key decision- makers. It enables and reinforces improvements of your vessel operations to improve control of your SOV vessel and provide new insights into your operations. With our system, we enable:

  • Vessel performance analytics
  • Vessel tracking and trip analysis
  • Customized reporting for vessels owners
  • Wave prediction and monitoring (development)


Data Science

To create the largest impact on windfarm yield and operational excellence, the services of BMO need to be tailored to fit the workflow of your wind farm. Therefore, BMO has divided its product line into three/four stages, each of which can be adjusted to your requirements. Additionally, BMO offers implementation consultancy to create maximum impact in the shortest time frame.




I. Vessel Performance:

The first package covers a vessel data collection campaign using BMO's VMMS. Immediate benefits from this package are:

  • Daily performance reports for each vessel to allow immediate response if performance targets are not met.
  • HD video of all transfer operations for effective evaluation of underperformance or incidents.
  • Monthly or quarterly vessel performance overviews and comparisons (on request)
  • Interfaces that collect wave data from radars/ buoys deployed in the field.


 II.  OEM Turbine Warranty Agreement:

The second package tracks the logistic performance of the wind farm versus the targets set out in a Turbine Warranty Agreement. The requirements in the OEM Turbine Warranty Agreement are analyzed and coded into a tracking algorithm. This algorithm collects decision making data from Marine control (MC) and combines it with measured performance data to create an accurate picture of vessel operations. This ensures that clients know at any time how they are performing relative to the warranty agreement, what has driven this development (weather, MC, vessel performance) and where there is scope for improvement. 


III.  Advanced Mission support system for windfarm yield maximization.

BMO uses historic wave-data and weather forecasts together with historic vessel performance to create transparency on mission success probability both for transit and turbine access. By comparing the potential yield from a successful mission with deployment costs, we can assist marine control with optimal fleet deployment.

We also offer various types of reports and consultancy. We are busy expanding our commercial offers, please contact us if you want to know more.


The Dataviewer is the latest platform created by BMO. It gives an insight into the performance, completed tasks and workload of both CTV's and SOV's. It achieves this by creating Daily Progress Reports(DPR) on the fly for each vessel it has data for. The easy-to-use design of the Dataviewer offers the option to quickly switch between vessels and dates.


A map overview shows the route sailed and the assets visited by a vessel. General statistics are provided in a table and detailed information on activities is provided in seperate sections.  The CTV DPR focusses on each individual transfer. Showing detailed information and a slip graph that visualises the quality of the connection provided by the vessel during the transfer of persons or cargo at a wind turbine.





The SOV DPR alters its appearance according to the vessel's activity. It has the possibility to display information about transfers to turbines, vessels, jack-ups, substations and many other scenarios.The statistics shown include gangway and DP utilisation data, vessel motion parameters, activities performed by visited vessels and key performance indicators such as cycle and deployment times.