Partitioning Behavior of Organic Contaminants in Carbon Storage Environments [electronic resource] : A Critical Review
- Published:
- Washington, D.C. : United States. Dept. of Energy, 2013.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Physical Description:
- 37-54 : digital, PDF file
- Additional Creators:
- National Energy Technology Laboratory (U.S.), United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Summary:
- Carbon capture and storage is a promising strategy for mitigating the CO₂ contribution to global climate change. The large scale implementation of the technology mandates better understanding of the risks associated with CO₂ injection into geologic formations and the subsequent interactions with groundwater resources. The injected supercritical CO₂ (sc-CO₂) is a nonpolar solvent that can potentially mobilize organic compounds that exist at residual saturation in the formation. Here, we review the partitioning behavior of selected organic compounds typically found in depleted oil reservoirs in the residual oil–brine–sc-CO₂ system under carbon storage conditions. The solubility of pure phase organic compounds in sc-CO₂ and partitioning of organic compounds between water and sc-CO₂ follow trends predicted based on thermodynamics. Compounds with high volatility and low aqueous solubility have the highest potential to partition to sc-CO₂. The partitioning of low volatility compounds to sc-CO₂ can be enhanced by co-solvency due to the presence of higher volatility compounds in the sc-CO₂. The effect of temperature, pressure, salinity, pH, and dissolution of water molecules into sc-CO₂ on the partitioning behavior of organic compounds in the residual oil-brine-sc-CO₂ system is discussed. Data gaps and research needs for models to predict the partitioning of organic compounds in brines and from complex mixtures of oils are presented. Models need to be able to better incorporate the effect of salinity and co-solvency, which will require more experimental data from key classes of organic compounds.
- Report Numbers:
- E 1.99:a-univ-pub-025
a-univ-pub-025 - Subject(s):
- Other Subject(s):
- Note:
- Published through SciTech Connect.
01/01/2013.
"a-univ-pub-025"
ENVIRONMENTAL SCIENCE & TECHNOLOGY 47 1 FT
Karamalidis, Athanasios K; Burant, Aniela; Lowry, Gregory V. - Funding Information:
- DE-FE0004000
View MARC record | catkey: 14128602