DOI

The workability of various types of operations offshore are largely affected by waves and wave induced motions. Examples are crew transfer from crew transfer vessels or service operation vessels to offshore wind turbines for maintenance, landing of helicopters in (navy) vessels and various crane operations. Over the recent years quite some effort has been put in technology aiming to provide a real time on-board prediction of approaching waves and wave induced vessel motions some minutes in advance. Enabling crew to anticipate, thus enhancing the safety and operability of these operations. This paper addresses the performance during a field test of the system as being under development by Next Ocean enabling such predictions, based on using an off-the-shelve (noncoherent) navigation radar system as a remote wave observer. Briefly summarizing (earlier publications on) the technical approach, focus will be on results obtained from a field test where the system was validated. Good agreements between ship motions as measured by an on-board motion reference unit and predictions obtained by the wave and motion prediction system during a field test on the North Sea near the Dutch coast on a 42 m patrol vessel will be shown in the results section, from which the usefulness of the system for operational decision support can be concluded.

Original languageEnglish
Title of host publicationProceedings ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering
Subtitle of host publicationVolume 7B: Ocean Engineering
Place of PublicationNew York, NY, USA
PublisherASME
Number of pages8
ISBN (Electronic)978-0-7918-5127-2
DOIs
Publication statusPublished - 2018
EventASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018 - Madrid, Spain
Duration: 17 Jun 201822 Jun 2018

Conference

ConferenceASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018
CountrySpain
CityMadrid
Period17/06/1822/06/18

    Research areas

  • Waves, Ships

ID: 50242250