go to top scroll for more

Projects

Projects: Projects for Investigator
Reference Number NE/L008076/1
Title CO2-EOR ranking and screening tool
Status Completed
Energy Categories Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 storage) 25%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Enhanced oil and gas production) 75%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 75%;
Sociological economical and environmental impact of energy (Environmental dimensions) 25%;
Principal Investigator Dr SA Mathias
No email address given
Earth Sciences
Durham University
Award Type Standard
Funding Source NERC
Start Date 27 January 2014
End Date 26 April 2014
Duration 3 months
Total Grant Value £22,207
Industrial Sectors
Region North East
Programme
 
Investigators Principal Investigator Dr SA Mathias , Earth Sciences, Durham University (99.999%)
  Other Investigator Professor J Gluyas , Earth Sciences, Durham University (0.001%)
Web Site
Objectives
Abstract Primary oil recovery factors typically range between 15 to 25% of the original oil in place (OOIP). An additional 20 to 40% OOIP is possible with water flooding. A further 10 to 20% OOIP is then possible by CO2 flooding, especially if CO2 is fully miscible with oil. The opportunity to add oil reserves to the UK inventory from CO2 EOR is substantial. Based upon a West Texas analogue indicated the additional reserves would lie in the range of 3 to 8 billion barrels. Furthermore, there is a growing consensus that CO2 can be permanently stored when deployed in association with CO2-EOR. As part of a CO2 EOR national scoping programme it is important to have an effective method of estimating potential incremental recovery of the hundreds of UK North Sea depleted oil reservoirs. This project proposes to develop a bespoke numerical simulator for this purpose. The main challenge lies in the development of robust algorithms of simulating the partially miscible displacement of oil by CO2 in the presence of a saline formation water. The project will benefit from innovative numerical techniques, previously developed from NERC science associated with nutrient migration in chalk aquifers. The project will also involve secondment of university staff with a leading industrial partner (RPS Energy) to ensure efficient and relevant knowledge exchange
Data

No related datasets

Projects

No related projects

Publications

No related publications

Added to Database 11/11/14