Decommissioning of offshore structures involves many event-driven processes, each with significant technical and operational challenges, and involving decision making. At a planning stage, critical decisions are made in terms of the removal technologies to be employed for the platforms and pipelines, dismantling order and steps, shipping methods, recycling methods, and the possibility of reutilisation of decommissioned assets/resources for other purposes. Any decision made will affect the cost, operational risk and environment. This project aims at the development of a decision support system utilising machine learning and artificial intelligence techniques as well as multiobjective optimisation under uncertainty methods.
The successful student will benefit from being part of a new and exciting decommissioning research centre working in Newburgh, Aberdeenshire, along with other PhD students, industry and academics among others. NDC includes state-of-the-art engineering laboratories and hangar space for the design and development of decommissioning technology, as well as a suite of environmental commercial testing facilities. At the heart of the Centre is the Decommissioning Immersive Collaborative Environment (DICE), a high-tech digital visualisation suite. The student will be one of the first graduates that will work on the research area that will bring potentially new technologies able to tackle challenges decommissioning faces in the area of offshore geotechnics
This studentship forms part of the National Decommissioning Centre, Centre for Doctoral Training. All of the NDC CDT projects will have substantive industry/regulator/NGO links/support. This support is currently being discussed with appropriate companies and organisations.
The successful candidate should have, or expect to obtain a UK Honours Degree at 2.1 or above (or equivalent) in Mechanical/Structural/Oil & Gas Engineering or in Operational Research.
Essential background and Knowledge: Successful applicant is expected to have excellent computer programming skills, a strong background in metaheuristic optimisation techniques and some background knowledge of cost modelling and risk/reliability analysis.
• Apply for Degree of Doctor of Philosophy in Decommissioning
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ’National Decommissioning Centre’ as Intended Source of Funding
• State the exact project title on the application form
When applying please ensure all required documents are attached:
• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• 2 References (Academic, where possible - we will not be contacting referees)
The closing date is 12 noon on 24 April 2019. Incomplete applications or applications received after that time will NOT be considered.
Informal inquiries can be made to Dr A Maheri ([email protected]
) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([email protected]
The start date of the project is to be agreed with the supervisor.