Guided Ultrasonics Ltd
Guided Ultrasonics Ltd
1 Projects, page 1 of 1
assignment_turned_in Project2017 - 2022Partners:Kawasaki Heavy Industries Ltd (Global), Oil & Gas Innovation Centre, SgurrEnergy Ltd, Tharsus, SgurrEnergy +61 partnersKawasaki Heavy Industries Ltd (Global),Oil & Gas Innovation Centre,SgurrEnergy Ltd,Tharsus,SgurrEnergy,Itf, The Industry Technology,Autonomous Surface Vehicles Ltd (ASV),CHEVRON NORTH SEA LIMITED,ASV (United Kingdom),Guided Ultrasonics Ltd,The Underwater Centre (UK),Lloyd's Register Foundation,SCHUNK Intec Limited (UK),Heriot-Watt University,Scottish Enterprise,Tharsus,TechnipFMC (International),The Data Lab,KUKA Robotics UK Limited,Itf, The Industry Technology,Hydrason Solutions Limited,Total E&P UK PLC,Schunk (United Kingdom),Kawasaki Heavy Industries (Japan),Sprint Robotics,Total E&P UK PLC,British Petroleum International Limited,Offshore Renewable Energy Catapult,Lloyd's Register Foundation,LR IMEA,Guided Ultrasonics Ltd,SBT,Lloyd's Register Foundation,Hydrason Solutions Limited,Heriot-Watt University,SCR,Offshore Renewable Energy Catapult,SeeByte Ltd,Tenaris,Permasense Limited,CENSIS,The Data Lab,ABB Group (International),Scottish Enterprise,Sprint Robotics,Baker Hughes (United Kingdom),Subsea 7 Limited,OFFSHORE RENEWABLE ENERGY CATAPULT,Subsea UK,Innovation Centre for Sensor and Imaging Systems,The Oil and Gas Technology Centre Ltd,KUKA Robotics UK Limited,The Underwater Centre (UK),TechnipFMC (France),Chevron (United Kingdom),OGIC (Oil and Gas Innovation Centre),British Petroleum International Limited,General Dynamics (United Kingdom),Schlumberger (United Kingdom),Baker Hughes Ltd,PERMASTORE LIMITED,ABB (Switzerland),Tenaris (United States),Subsea 7 Limited,KUKA (United Kingdom),Subsea UKFunder: UK Research and Innovation Project Code: EP/R026173/1Funder Contribution: 15,223,200 GBPThe international offshore energy industry currently faces the triple challenges of an oil price expected to remain less than $50 a barrel, significant expensive decommissioning commitments of old infrastructure (especially North Sea) and small margins on the traded commodity price per KWh of offshore renewable energy. Further, the offshore workforce is ageing as new generations of suitable graduates prefer not to work in hazardous places offshore. Operators therefore seek more cost effective, safe methods and business models for inspection, repair and maintenance of their topside and marine offshore infrastructure. Robotics and artificial intelligence are seen as key enablers in this regard as fewer staff offshore reduces cost, increases safety and workplace appeal. The long-term industry vision is thus for a completely autonomous offshore energy field, operated, inspected and maintained from the shore. The time is now right to further develop, integrate and de-risk these into certifiable evaluation prototypes because there is a pressing need to keep UK offshore oil and renewable energy fields economic, and to develop more productive and agile products and services that UK startups, SMEs and the supply chain can export internationally. This will maintain a key economic sector currently worth £40 billion and 440,000 jobs to the UK economy, and a supply chain adding a further £6 billion in exports of goods and services. The ORCA Hub is an ambitious initiative that brings together internationally leading experts from 5 UK universities with over 30 industry partners (>£17.5M investment). Led by the Edinburgh Centre of Robotics (HWU/UoE), in collaboration with Imperial College, Oxford and Liverpool Universities, this multi-disciplinary consortium brings its unique expertise in: Subsea (HWU), Ground (UoE, Oxf) and Aerial robotics (ICL); as well as human-machine interaction (HWU, UoE), innovative sensors for Non Destructive Evaluation and low-cost sensor networks (ICL, UoE); and asset management and certification (HWU, UoE, LIV). The Hub will provide game-changing, remote solutions using robotics and AI that are readily integratable with existing and future assets and sensors, and that can operate and interact safely in autonomous or semi-autonomous modes in complex and cluttered environments. We will develop robotics solutions enabling accurate mapping of, navigation around and interaction with offshore assets that support the deployment of sensors networks for asset monitoring. Human-machine systems will be able to co-operate with remotely located human operators through an intelligent interface that manages the cognitive load of users in these complex, high-risk situations. Robots and sensors will be integrated into a broad asset integrity information and planning platform that supports self-certification of the assets and robots.
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