Project Description
Supervisors
Dr Nicola Scarselli, Faculty of Science, Royal Holloway, University of London – contact me
Professor Dave Waltham, Royal Holloway University of London
Dr Jonathan Paul, Royal Holloway University of London
Professor Jürgen Adam, Royal Holloway University of London
Scientific Background
Power generation by UK offshore wind creates a strong opportunity for large-scale energy storage. Current research suggests that energy storage at scale could be achieved by storing compressed air or hydrogen in salt caverns. An alternative approach is to temporarily pump seawater into depleted oil and gas reservoirs, which are abundant in the North Sea, raising their reservoir pressure. Stored water at high pressure could subsequently be released through turbines when electricity is required. Using existing offshore infrastructure and seawater could provide a practical, low-carbon energy storage solution. However, its energy performance, technical feasibility and environmental implications require evaluation.
Research Methodology
In this project, the student will build numerical models for representative North Sea reservoirs to estimate achievable power rates and energy-storage capacity. The student will simulate pressure changes through time and assess how reservoir and seal properties affect performance. The project will also consider the environmental effects of seawater injection and production. Using public subsurface datasets, alongside information on current energy infrastructure and wind-farm development, the PGR will screen and rank potential sites across the North Sea continental shelf.
Training
The student will gain skills in seismic interpretation, 3D reservoir modelling, numerical simulation and data integration. Working with academic and industry experts at Royal Holloway, they will develop experience in communicating results to both academic researchers and energy-sector stakeholders.
Person Specification
Applicants should have a strong degree in geoscience, geophysics, engineering, physics, or a related discipline. An interest in subsurface energy storage and quantitative analysis is essential. Prior coding experience is desirable.