Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability
The accuracy and robustness of numerical models of geologic CO2 sequestration are almost never quantified with respect to direct observations that provide a ground truth. Here, we conduct CO2 injection experiments in meter-scale, quasi-2D tanks with porous media representing stratigraphic sections o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Springer Science and Business Media LLC
2024
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| Online Access: | https://hdl.handle.net/1721.1/154227 |
| _version_ | 1824458139096842240 |
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| author | Saló-Salgado, Lluís Haugen, Malin Eikehaug, Kristoffer Fernø, Martin Nordbotten, Jan M. Juanes, Ruben |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Saló-Salgado, Lluís Haugen, Malin Eikehaug, Kristoffer Fernø, Martin Nordbotten, Jan M. Juanes, Ruben |
| author_sort | Saló-Salgado, Lluís |
| collection | MIT |
| description | The accuracy and robustness of numerical models of geologic CO2 sequestration are almost never quantified with respect to direct observations that provide a ground truth. Here, we conduct CO2 injection experiments in meter-scale, quasi-2D tanks with porous media representing stratigraphic sections of the subsurface, and compare them to numerical simulations of those experiments. We evaluate (1) the value of prior knowledge of the system, expressed in terms of ex situ measurements of the tank sands’ multiphase flow properties (local data), with respect to simulation accuracy; and (2) the forecasting capability of history-matched numerical models, when applied to different settings. We match three versions of a numerical simulation model—each with access to an increasing level of local data—to a CO2 injection experiment in Tank 1 (89.7×47×1.05 cm). Matching is based on a quantitative comparison of CO2 migration at different times from timelapse image analysis. Next, use the matched models to make a forecast of a different injection scenario in Tank 1 and, finally, a different injection scenario in Tank 2 (2.86×1.3×0.019 m), which represents an altogether different stratigraphic section. The simulation model can qualitatively match the observed free-phase and dissolved CO2 plume migration and convective mixing. Quantitatively, simulations are accurate during the injection phase, but their concordance decreases with time. Using local data reduces the time required to history match, although the forecasting capability of matched models is similar. The sand–water–CO2(g) system is very sensitive to effective permeability and capillary pressure changes; where heterogeneous structures are present, accurate deterministic estimates of CO2 migration are difficult to obtain. |
| first_indexed | 2024-09-23T12:02:03Z |
| format | Article |
| id | mit-1721.1/154227 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:21:08Z |
| publishDate | 2024 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1542272025-02-05T20:05:27Z Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability Saló-Salgado, Lluís Haugen, Malin Eikehaug, Kristoffer Fernø, Martin Nordbotten, Jan M. Juanes, Ruben 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 General Chemical Engineering Catalysis The accuracy and robustness of numerical models of geologic CO2 sequestration are almost never quantified with respect to direct observations that provide a ground truth. Here, we conduct CO2 injection experiments in meter-scale, quasi-2D tanks with porous media representing stratigraphic sections of the subsurface, and compare them to numerical simulations of those experiments. We evaluate (1) the value of prior knowledge of the system, expressed in terms of ex situ measurements of the tank sands’ multiphase flow properties (local data), with respect to simulation accuracy; and (2) the forecasting capability of history-matched numerical models, when applied to different settings. We match three versions of a numerical simulation model—each with access to an increasing level of local data—to a CO2 injection experiment in Tank 1 (89.7×47×1.05 cm). Matching is based on a quantitative comparison of CO2 migration at different times from timelapse image analysis. Next, use the matched models to make a forecast of a different injection scenario in Tank 1 and, finally, a different injection scenario in Tank 2 (2.86×1.3×0.019 m), which represents an altogether different stratigraphic section. The simulation model can qualitatively match the observed free-phase and dissolved CO2 plume migration and convective mixing. Quantitatively, simulations are accurate during the injection phase, but their concordance decreases with time. Using local data reduces the time required to history match, although the forecasting capability of matched models is similar. The sand–water–CO2(g) system is very sensitive to effective permeability and capillary pressure changes; where heterogeneous structures are present, accurate deterministic estimates of CO2 migration are difficult to obtain. 2024-04-19T15:22:15Z 2024-04-19T15:22:15Z 2023-06-23 2024-04-19T03:28:28Z Article http://purl.org/eprint/type/JournalArticle 0169-3913 1573-1634 https://hdl.handle.net/1721.1/154227 Saló-Salgado, L., Haugen, M., Eikehaug, K. et al. Direct Comparison of Numerical Simulations and Experiments of CO2 Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability. Transp Porous Med 151, 1199–1240 (2024). en 10.1007/s11242-023-01972-y Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The Author(s), under exclusive licence to Springer Nature B.V. application/pdf Springer Science and Business Media LLC Springer Netherlands |
| spellingShingle | General Chemical Engineering Catalysis Saló-Salgado, Lluís Haugen, Malin Eikehaug, Kristoffer Fernø, Martin Nordbotten, Jan M. Juanes, Ruben Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title | Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title_full | Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title_fullStr | Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title_full_unstemmed | Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title_short | Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability |
| title_sort | direct comparison of numerical simulations and experiments of hbox co 2 injection and migration in geologic media value of local data and forecasting capability |
| topic | General Chemical Engineering Catalysis |
| url | https://hdl.handle.net/1721.1/154227 |
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