Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin
Reliable regional-scale permeability data and minimum sustained injectivity rate estimates are key parameters required to mitigate economic risk in the site selection, design, and development of commercial-scale carbon sequestration projects, but are seldom available. We used extensive publicly avai...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/1996-1073/16/6/2532 |
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author | Mahendra Samaroo Rick Chalaturnyk Maurice Dusseault |
author_facet | Mahendra Samaroo Rick Chalaturnyk Maurice Dusseault |
author_sort | Mahendra Samaroo |
collection | DOAJ |
description | Reliable regional-scale permeability data and minimum sustained injectivity rate estimates are key parameters required to mitigate economic risk in the site selection, design, and development of commercial-scale carbon sequestration projects, but are seldom available. We used extensive publicly available disposal well data from over 4000 disposal wells to assess and history-match regional permeability estimates and provide the frequency distribution for disposal well injection rates in each of 66 disposal formations in the Alberta Basin. We then used core data and laboratory analyses from over 3000 cores to construct 3D geological, geomechanical and petrophysical models for 22 of these disposal formations. We subsequently used these models and the history-matched regional permeability estimates to conduct coupled geomechanical and reservoir simulation modeling (using the ResFrac™, Palo Alto, CA, USA, numerical simulator) to assess: (i) well performance in each formation when injecting carbon dioxide for a 20-year period; (ii) carbon dioxide saturation and reservoir response at the end of the 20-year injection period; (iii) reliability of our simulated rates compared to an actual commercial sequestration project. We found that: (i) the injection rate from our simulations closely matched actual performance of the commercial case; (ii) only 7 of the 22 disposal formations analyzed appeared capable of supporting carbon dioxide injectors operating at greater than 200,000 tons per year/well; (iii) three of these formations could support injectors operating at rates comparable to the successful commercial-scale case; (iv) carbon dioxide presence and a formation pressure increase of at least 25% above pre-injection pressure can be expected at the boundaries of the (12 km × 12 km) model domain at the end of 20 years of injection. |
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institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T06:37:52Z |
publishDate | 2023-03-01 |
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series | Energies |
spelling | doaj.art-787474a647064b96b97e774097c64a682023-11-17T10:47:26ZengMDPI AGEnergies1996-10732023-03-01166253210.3390/en16062532Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta BasinMahendra Samaroo0Rick Chalaturnyk1Maurice Dusseault2Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1, CanadaReliable regional-scale permeability data and minimum sustained injectivity rate estimates are key parameters required to mitigate economic risk in the site selection, design, and development of commercial-scale carbon sequestration projects, but are seldom available. We used extensive publicly available disposal well data from over 4000 disposal wells to assess and history-match regional permeability estimates and provide the frequency distribution for disposal well injection rates in each of 66 disposal formations in the Alberta Basin. We then used core data and laboratory analyses from over 3000 cores to construct 3D geological, geomechanical and petrophysical models for 22 of these disposal formations. We subsequently used these models and the history-matched regional permeability estimates to conduct coupled geomechanical and reservoir simulation modeling (using the ResFrac™, Palo Alto, CA, USA, numerical simulator) to assess: (i) well performance in each formation when injecting carbon dioxide for a 20-year period; (ii) carbon dioxide saturation and reservoir response at the end of the 20-year injection period; (iii) reliability of our simulated rates compared to an actual commercial sequestration project. We found that: (i) the injection rate from our simulations closely matched actual performance of the commercial case; (ii) only 7 of the 22 disposal formations analyzed appeared capable of supporting carbon dioxide injectors operating at greater than 200,000 tons per year/well; (iii) three of these formations could support injectors operating at rates comparable to the successful commercial-scale case; (iv) carbon dioxide presence and a formation pressure increase of at least 25% above pre-injection pressure can be expected at the boundaries of the (12 km × 12 km) model domain at the end of 20 years of injection.https://www.mdpi.com/1996-1073/16/6/2532subsurface riskinjectivityfracturingAlberta BasinCO<sub>2</sub> sequestrationcoupled 3D modeling |
spellingShingle | Mahendra Samaroo Rick Chalaturnyk Maurice Dusseault Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin Energies subsurface risk injectivity fracturing Alberta Basin CO<sub>2</sub> sequestration coupled 3D modeling |
title | Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin |
title_full | Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin |
title_fullStr | Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin |
title_full_unstemmed | Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin |
title_short | Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin |
title_sort | estimating sustainable long term fluid disposal rates in the alberta basin |
topic | subsurface risk injectivity fracturing Alberta Basin CO<sub>2</sub> sequestration coupled 3D modeling |
url | https://www.mdpi.com/1996-1073/16/6/2532 |
work_keys_str_mv | AT mahendrasamaroo estimatingsustainablelongtermfluiddisposalratesinthealbertabasin AT rickchalaturnyk estimatingsustainablelongtermfluiddisposalratesinthealbertabasin AT mauricedusseault estimatingsustainablelongtermfluiddisposalratesinthealbertabasin |