Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries
Carbon, capture, and storage (CCS) is an important bridging technology to combat climate change in the transition toward net-zero. The FluidFlower concept has been developed to visualize and study CO2 flow and storage mechanisms in sedimentary systems in a laboratory setting. Meter-scale multiphase...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer Netherlands
2024
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| Online Access: | https://hdl.handle.net/1721.1/153395 |
| _version_ | 1826190284118032384 |
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| author | Haugen, Malin Saló-Salgado, Lluís Eikehaug, Kristoffer Benali, Benyamine Both, Jakub W. Storvik, Erlend Folkvord, Olav Juanes, Ruben Nordbotten, Jan M. Fernø, Martin A. |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Haugen, Malin Saló-Salgado, Lluís Eikehaug, Kristoffer Benali, Benyamine Both, Jakub W. Storvik, Erlend Folkvord, Olav Juanes, Ruben Nordbotten, Jan M. Fernø, Martin A. |
| author_sort | Haugen, Malin |
| collection | MIT |
| description | Carbon, capture, and storage (CCS) is an important bridging technology to combat climate change in the transition toward net-zero. The FluidFlower concept has been developed to visualize and study CO2 flow and storage mechanisms in sedimentary systems in a laboratory setting. Meter-scale multiphase flow in two geological geometries, including normal faults with and without smearing, is studied. The experimental protocols developed to provide key input parameters for numerical simulations are detailed, including an evaluation of operational parameters for the FluidFlower benchmark study. Variability in CO2 migration patterns for two different geometries is quantified, both between 16 repeated laboratory runs and between history-matched models and a CO2 injection experiment. The predicative capability of a history-matched model is then evaluated in a different geological setting. |
| first_indexed | 2024-09-23T08:37:54Z |
| format | Article |
| id | mit-1721.1/153395 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:37:54Z |
| publishDate | 2024 |
| publisher | Springer Netherlands |
| record_format | dspace |
| spelling | mit-1721.1/1533952024-07-12T16:20:30Z Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries Haugen, Malin Saló-Salgado, Lluís Eikehaug, Kristoffer Benali, Benyamine Both, Jakub W. Storvik, Erlend Folkvord, Olav Juanes, Ruben Nordbotten, Jan M. Fernø, Martin A. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology. Earth Resources Laboratory Carbon, capture, and storage (CCS) is an important bridging technology to combat climate change in the transition toward net-zero. The FluidFlower concept has been developed to visualize and study CO2 flow and storage mechanisms in sedimentary systems in a laboratory setting. Meter-scale multiphase flow in two geological geometries, including normal faults with and without smearing, is studied. The experimental protocols developed to provide key input parameters for numerical simulations are detailed, including an evaluation of operational parameters for the FluidFlower benchmark study. Variability in CO2 migration patterns for two different geometries is quantified, both between 16 repeated laboratory runs and between history-matched models and a CO2 injection experiment. The predicative capability of a history-matched model is then evaluated in a different geological setting. 2024-01-22T22:16:10Z 2024-01-22T22:16:10Z 2024-01-20 2024-01-21T04:22:03Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/153395 Haugen, M., Saló-Salgado, L., Eikehaug, K. et al. Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries. Transp Porous Med (2024). PUBLISHER_CC en https://doi.org/10.1007/s11242-023-02047-8 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer Netherlands Springer Netherlands |
| spellingShingle | Haugen, Malin Saló-Salgado, Lluís Eikehaug, Kristoffer Benali, Benyamine Both, Jakub W. Storvik, Erlend Folkvord, Olav Juanes, Ruben Nordbotten, Jan M. Fernø, Martin A. Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title | Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title_full | Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title_fullStr | Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title_full_unstemmed | Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title_short | Physical Variability in Meter-Scale Laboratory CO2 Injections in Faulted Geometries |
| title_sort | physical variability in meter scale laboratory co2 injections in faulted geometries |
| url | https://hdl.handle.net/1721.1/153395 |
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