Invasion percolation & basin modelling for CCS site screening and characterization

Abstract During the early screening phase of Carbon Capture and Storage (CCS) site evaluations limited time and data are available and hence CO 2 plume evaluations using time and data intensive reservoir simulations are almost never performed. However, there is still a need for early plume evaluations to risk and rank injection sites relative to each other. Therefore, an alternative fluid migration method called invasion percolation is adopted for the CCS screening phase to predict the extent and location of CO 2 plumes in the subsurface. Invasion percolation as part of basin modeling is a rapid method, which requires limited data and is ideal for the early screening phase. Invasion percolation results are compared to uncalibrated reservoir models, typical for the screening phase, revealing that plume location shape and size are very reasonable especially when compared to seismic observed plume outlines. It can be concluded that invasion percolation as part of basin modeling is a fit for purpose method, which can assess multiple opportunities rapidly during the early intake screening phase to risk and rank opportunities relative to each other and to build a CCS injection site portfolio. In addition to the plume evaluation, basin models can provide useful basin‐scale or injection site specific pressure and temperature predictions as well as CO 2 density estimates for static volume calculations before detailed reservoir and stratigraphic models are available. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Publication Details

Journal
Greenhouse Gases Science and Technology
Published
2024-09-06
DOI
https://doi.org/10.1002/ghg.2303
Citations
2
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.41
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article

Invasion percolation & basin modelling for CCS site screening and characterization

Friedemann Baur, Sam Hiebert
2 citations
Greenhouse Gases Science and Technology
CO2 Sequestration and Geologic Interactions
0.41
article

Invasion percolation & basin modelling for CCS site screening and characterization

Friedemann Baur, Sam Hiebert
article en
2 citations

Abstract

Abstract During the early screening phase of Carbon Capture and Storage (CCS) site evaluations limited time and data are available and hence CO 2 plume evaluations using time and data intensive reservoir simulations are almost never performed. However, there is still a need for early plume evaluations to risk and rank injection sites relative to each other. Therefore, an alternative fluid migration method called invasion percolation is adopted for the CCS screening phase to predict the extent and location of CO 2 plumes in the subsurface. Invasion percolation as part of basin modeling is a rapid method, which requires limited data and is ideal for the early screening phase. Invasion percolation results are compared to uncalibrated reservoir models, typical for the screening phase, revealing that plume location shape and size are very reasonable especially when compared to seismic observed plume outlines. It can be concluded that invasion percolation as part of basin modeling is a fit for purpose method, which can assess multiple opportunities rapidly during the early intake screening phase to risk and rank opportunities relative to each other and to build a CCS injection site portfolio. In addition to the plume evaluation, basin models can provide useful basin‐scale or injection site specific pressure and temperature predictions as well as CO 2 density estimates for static volume calculations before detailed reservoir and stratigraphic models are available. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.

Greenhouse Gases Science and TechnologyVol. 14(5)
Chevron (United States) (US)
Openalex Percentile: Top 42%
CO2 Sequestration and Geologic Interactions
0.41
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Invasion percolation & basin modelling for CCS site screening and characterization — Friedemann Baur, Sam Hiebert · Greenhouse Gases Science and Technology (2024) | TGRS Research Map | TGRS