Carbon Quantum Dots with Tracer-like Breakthrough Ability for Reservoir Characterisation
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- CHEM-103
- Type
- D - Journal article
- DOI
-
10.1016/j.scitotenv.2019.03.007
- Title of journal
- Science of the Total Environment
- Article number
- -
- First page
- 579
- Volume
- 669
- Issue
- -
- ISSN
- 0048-9697
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0048969719309854-mmc1.docx
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Tracers are widely used for reservoir characterisation but can only provide information about flow connectivity. Supported by ERC Consolidator Grant (Ref. 648375), this work developed an innovative concept using carbon quantum dots as nanoparticle tracers via a proof-of-concept study, which showed that they could be transported through core samples as conventional tracers, whilst acting as oil sensors to obtain quantitative oil saturation information. This opens a new window of opportunity to improve reservoir characterisation, leading to better oil recovery.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
