Objective
SINANN will leverage the identified capability of SonarSim’s high-performance Computational Ocean Acoustics framework to unlock a tangible 10-15% efficiency improvement in coastal zone seabed survey operations. The resulting productivity step change could potentially double the profit margin of a typical survey vessel, an expensive capital investment costing a minimum of €10 million per annum to operate. A significant portion of operational survey time is wasted collecting redundant seabed data and correcting routine errors caused by the inherent deficiencies in traditional manual based vessel path planning and swath coverage prediction processes. SINANN enables end users to identify the optimal fit for purpose survey configuration pre-survey, predict expected seabed survey performance analytics, and execute the optimal survey strategy in the field through smart high performance computerised solutions. Target end users are blue chip survey organisations involved in National charting, offshore oil and gas, marine renewable energy, and subsea telecoms.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- social sciencessociologyindustrial relationsautomation
- natural sciencesphysical sciencesacoustics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
V94 Limerick
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.