Cleaning and waste management during Oil and Gas decommissioning: destabilisation of colloidal suspensions
Cleaning of oil and gas facilities and management of waste streams during decommissioning require a fundamental understanding of the stability and interactions of gels, foams, emulsions and sludge between them and other materials. Health, safety and environment considerations, and reduction of costs derived from those operations strongly depend on new technologies. This project aims at developing new cleaning and waste management technologies based on the fundamental science underpinning the stability and properties of those colloids.
A combination of experiments (density, rheology, phase behaviour, interfacial tension, interfacial rheology and viscoelasticity, analytical chemistry, imaging techniques) and modelling will be extensively used during the project.
A team of experts on different areas will provide supervision and leadership during the duration of this PhD.
The successful candidate should have (or expect to achieve) a minimum of a UK Honours degree at 2.1 or above (or equivalent) in Engineering, Physics, Chemistry
Essential background: Thermodynamics
Knowledge of: Experimental thermodynamics
Formal applications can be completed online: http://www.abdn.ac.uk/postgraduate/apply. You should apply for Degree of Doctor of Philosophy in Engineering, to ensure that your application is passed to the correct person for processing.
NOTE CLEARLY THE NAME OF THE SUPERVISOR AND EXACT PROJECT TITLE YOU WISH TO BE CONSIDERED FOR ON THE APPLICATION FORM.
Informal inquiries can be made to Dr D Vega-Maza ([Email Address Removed]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([Email Address Removed]).
There is no funding attached to this project, it is for self-funded students only. Applicants should note that Additional Research Costs are required for this project.
How good is research at Aberdeen University in General Engineering?
FTE Category A staff submitted: 38.60
Research output data provided by the Research Excellence Framework (REF)
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