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Use of above-zone pressure data to locate and quantify leaks during carbon storage operations
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Pressure changes in aquifers above the reservoir indicate leakage in the overlying aquifer.
“pressure changes in aquifers above the reservoir indicate leakage in the overlying aquifer”
From An Overview of the Status and Challenges of CO2 Storage in Minerals and Geological Formations (2019) · cites this paper as Cameron et al., 2016
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Research works printed but not linked: 41
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Cited by
Sorted by citations
An Overview of the Status and Challenges of CO2 Storage in Minerals and Geological Formations
Kelemen, P., Benson, S. M., Pilorgé, H., Psarras, P., & Wilcox, J. (2019) · Frontiers in Climate · doi:10.3389/fclim.2019.00009 · Cited by 587
“, 2014), but pressure changes in aquifers above the reservoir indicate leakage in the overlying aquifer (Meckel et al., 2013; Kim and Hosseini, 2014; Cameron et al., 2016).”
BackgroundSelf-citation
Metadata
- Authors
- Cameron, D. A., Durlofsky, L. J., & Benson, S. M.
- Affiliations
- Stanford University (US)
- Corresponding author
- Cameron, David A.
- Venue
- International Journal of Greenhouse Gas Control
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 52
- Pages
- 32-43
- ISSN
- 1750-5836 (ISSN-L)
- OpenAlex
- W2470614038
- Cited by
- 20
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 4 · 2019: 4 · 2018: 3 · 2017: 1
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International journal of greenhouse gas control (publishedVersion)
- Funders
- Stanford Smart Fields Consortium
- Stanford Center for Carbon Storage
- Global Climate and Energy Project
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › CO2 Sequestration and Geologic Interactions
- Physical Sciences › Energy › Fuel Technology › Reservoir Engineering and Simulation Methods
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Keywords
- carbon storage, leak localization, leak size estimation, history matching, particle swarm optimization, permeability heterogeneity, semivariogram, monitoring strategies
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