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Modelling of long-term along-fault flow of CO2 from a natural reservoir

Jeroen Snippe, Niko Kampman, Kevin Bisdom, Tim Tambach, Rafael March, Christine Maier, Tomos Phillips (UGent) , Nathaniel Forbes Inskip, Florian Doster and Andreas Busch
(2022) INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL. 118.
Author
Organization
Abstract
As part of the European ACT-sponsored research consortium, DETECT, we developed an integrated characterisation and risk assessment toolkit for natural fault/fracture pathways. In this paper, we describe the DETECT experimental-modelling workflow, which aims to be predictive for fault-related leakage quantification, and its application to a field case example for validation. The workflow combines laboratory experiments to obtain single-fracture stress-dependent permeabilities; single-fracture modelling for stress-dependent relative permeabilities and capillary pressures; fracture network characterisation and modelling for the caprock(s); upscaling of properties and constitutive functions in fracture networks; and full compositional flow modelling at field scale. Here we focus on the application of the workflow to the Green River site in Utah. This is a rare case of leakage from a shallow natural CO2 reservoir, where CO2 (dissolved or gaseous) migrates along two fault zones to the surface. This site provides a unique opportunity to understand CO2 leakage mechanisms and volumes along faults, because of its extensive characterisation including a large dataset of present-day CO2 surface flux measurements as well as historical records of CO2 leakage in the form of travertine mounds. When applied to this site, our methodology predicts leakage locations accurately and, within an order of magnitude, leakage rates correctly without extensive history matching. Subsequent history matching achieves accurate leak rate matches within a-priori uncertainty ranges for model input parameters.
Keywords
CO2 storage, fault, fracture, leakage, model, stress, mineralisation, Green River, FLUID-FLOW, PERMEABILITY, LEAKAGE, WATER, SHALE, FRACTURES, PRESSURE, ROCKS, UTAH, GAS

Citation

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MLA
Snippe, Jeroen, et al. “Modelling of Long-Term along-Fault Flow of CO2 from a Natural Reservoir.” INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, vol. 118, 2022, doi:10.1016/j.ijggc.2022.103666.
APA
Snippe, J., Kampman, N., Bisdom, K., Tambach, T., March, R., Maier, C., … Busch, A. (2022). Modelling of long-term along-fault flow of CO2 from a natural reservoir. INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 118. https://doi.org/10.1016/j.ijggc.2022.103666
Chicago author-date
Snippe, Jeroen, Niko Kampman, Kevin Bisdom, Tim Tambach, Rafael March, Christine Maier, Tomos Phillips, Nathaniel Forbes Inskip, Florian Doster, and Andreas Busch. 2022. “Modelling of Long-Term along-Fault Flow of CO2 from a Natural Reservoir.” INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL 118. https://doi.org/10.1016/j.ijggc.2022.103666.
Chicago author-date (all authors)
Snippe, Jeroen, Niko Kampman, Kevin Bisdom, Tim Tambach, Rafael March, Christine Maier, Tomos Phillips, Nathaniel Forbes Inskip, Florian Doster, and Andreas Busch. 2022. “Modelling of Long-Term along-Fault Flow of CO2 from a Natural Reservoir.” INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL 118. doi:10.1016/j.ijggc.2022.103666.
Vancouver
1.
Snippe J, Kampman N, Bisdom K, Tambach T, March R, Maier C, et al. Modelling of long-term along-fault flow of CO2 from a natural reservoir. INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL. 2022;118.
IEEE
[1]
J. Snippe et al., “Modelling of long-term along-fault flow of CO2 from a natural reservoir,” INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, vol. 118, 2022.
@article{8751713,
  abstract     = {{As part of the European ACT-sponsored research consortium, DETECT, we developed an integrated characterisation and risk assessment toolkit for natural fault/fracture pathways. In this paper, we describe the DETECT experimental-modelling workflow, which aims to be predictive for fault-related leakage quantification, and its application to a field case example for validation. The workflow combines laboratory experiments to obtain single-fracture stress-dependent permeabilities; single-fracture modelling for stress-dependent relative permeabilities and capillary pressures; fracture network characterisation and modelling for the caprock(s); upscaling of properties and constitutive functions in fracture networks; and full compositional flow modelling at field scale.

Here we focus on the application of the workflow to the Green River site in Utah. This is a rare case of leakage from a shallow natural CO2 reservoir, where CO2 (dissolved or gaseous) migrates along two fault zones to the surface. This site provides a unique opportunity to understand CO2 leakage mechanisms and volumes along faults, because of its extensive characterisation including a large dataset of present-day CO2 surface flux measurements as well as historical records of CO2 leakage in the form of travertine mounds. When applied to this site, our methodology predicts leakage locations accurately and, within an order of magnitude, leakage rates correctly without extensive history matching. Subsequent history matching achieves accurate leak rate matches within a-priori uncertainty ranges for model input parameters.}},
  articleno    = {{103666}},
  author       = {{Snippe, Jeroen and Kampman, Niko and Bisdom, Kevin and Tambach, Tim and March, Rafael and Maier, Christine and Phillips, Tomos and Inskip, Nathaniel Forbes and Doster, Florian and Busch, Andreas}},
  issn         = {{1750-5836}},
  journal      = {{INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL}},
  keywords     = {{CO2 storage,fault,fracture,leakage,model,stress,mineralisation,Green River,FLUID-FLOW,PERMEABILITY,LEAKAGE,WATER,SHALE,FRACTURES,PRESSURE,ROCKS,UTAH,GAS}},
  language     = {{eng}},
  pages        = {{15}},
  title        = {{Modelling of long-term along-fault flow of CO2 from a natural reservoir}},
  url          = {{http://doi.org/10.1016/j.ijggc.2022.103666}},
  volume       = {{118}},
  year         = {{2022}},
}
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