Projects
Projects: Projects for Investigator |
||
| Reference Number | EP/L022958/1 | |
| Title | Novel techniques for seabed monitoring of CO2 leakage and monitoring campaigns based on reservoir, cap rock and overburden migration models. | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 storage) 100%; | |
| 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 100% | |
| Principal Investigator |
Dr R Turnewitsch No email address given Scottish Association For Marine Science |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 25 November 2013 | |
| End Date | 24 November 2016 | |
| Duration | 36 months | |
| Total Grant Value | £169,897 | |
| Industrial Sectors | Energy | |
| Region | Scotland | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Dr R Turnewitsch , Scottish Association For Marine Science (99.998%) |
| Other Investigator | Dr SA Mathias , Earth Sciences, Durham University (0.001%) Professor RN Glud , UNLISTE, University of Southern Denmark (0.001%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | The project team with partners from United Kingdom (UK), Greece (G) and Norway (N) proposes to use the Next Generation Technology of metagenomics and bioinformatic, for offshore post injection and long-term monitoring of CO2 storage sites. DNA extracted from seafloor sediments exposed to in situ CO2 release at the Scottish west coast will be analysed and compared to our existing CO2 anomaly signatures from the North Sea. An automatic workflow for fast finding and precise detection of genes associated with prokaryotic CO2 assimilation will be generated. Correlation analysis of geochemical parameters and genetic anomalies in in situ and ex situ CO2 exposed sediments will be made. To be able to estimate the resolution and sampling frequency required for safe long term monitoring of CO2 storage sites, we will calculate the theoretical migration of CO2 to the seabed from a conceptual storage site model with cap rock leakage. Based on this approach we will suggest monitoring campaigns and recommendations for the conceptual storage site model and estimate the monitoring costs. The CCS community needs a technique able to detect deviations from baseline conditions in the seafloor in good time before CO2 migrates from the seafloor into the sea water where pelagic organisms such as fish can be affected. | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 11/12/13 | |
