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Special Session Proposal for ISMLG 2023


AI in offshore geotechnics and geoscience 


Like many scientific fields, the use of artificial intelligence (AI) is starting to demonstrate its effectiveness in solving offshore geotechnical and geoscience problems. However, AI is not yet part of the routine toolkit used by most engineers and scientists. The goal of this special session is to inform the scientific community about advances in the application of AI in offshore geotechnics and geoscience, with a particular focus on the offshore renewables sector. Application domains will encompass a range of topics such as offshore foundation design, ground modelling, site investigation, and offshore monitoring.  

Target audience

Researchers (academics and PhD students) and industry practitioners (engineers and geoscientists) working in offshore geotechnics and geoscience.  

Planned format of the special session
The special session will consist of 6 to 9 talks, which are based on the papers submitted. Each talk should last about 20 minutes and there will be a short break after every 3 talks. The format was designed to expose the audience to a wide range of AI applications in the offshore geotechnics field. The range of talks should cover topics such as applications of AI to improve general prediction of offshore foundation behaviour (including static, cyclic and dynamic responses), intelligent ground modelling, and AI-enhanced sensors for offshore foundation monitoring. There will also be a 30 to 40 minutes panel discussion at the end of the session. The topic of this panel discussion is ‘Challenges and opportunities of AI in offshore geotechnics’. The purpose of this panel discussion is to foster a dialogue between industry practitioners and scientists on the potential challenges and unexplored opportunities with the applications of AI in the offshore geotechnics field, a critical topic that needs to be discussed as we approach a data-centric future. Potential panellists may include Bruno Stuyts (Ghent University), Kenneth Gavin (TU Delft), Maarten Vanneste (NGI) and senior engineers/scientists from the offshore wind industry.

Publicity and promotion plan
• Promotion through existing academic and industry network of the organisers 
• Promotion through TC209: Offshore Geotechnics 


(Main contact:  
• Dr Stephen Suryasentana (Lecturer, University of Strathclyde) 
• Dr Brian Sheil (RAEng Research Fellow, University of Oxford) 
• Dr Róisín Buckley (Lecturer, University of Glasgow) 

Dr Suryasentana’s research is focused on developing smart, autonomous solutions based on Bayesian machine learning (ML) to make better data-driven decisions in offshore ground modelling, site investigation planning and offshore foundation design optimisation. Dr Sheil’s research is focused on the area of intelligent construction monitoring, where new solutions based on Bayesian ML, deep learning and novel smart sensors for real-time monitoring are developed to inform construction processes and improve design. Dr Buckley’s research is focused on modelling and experimental study of geo-materials, advanced laboratory testing and new site characterisation techniques, with a specific focus on pile foundations and the offshore renewables sector. Dr Suryasentana has served on the organising committee for a series of seminars on cross-disciplinary applications of ML at Wolfson College, Oxford and Dr  Buckley has served on the organising committee for the 2018 BGA Chalk conference. 

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