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Abstract

Summary

We provide a methodological and operational workflow integrating Ensemble Model Calibration and Data Space Inversion to quantify uncertainty and assess data worth in Carbon Capture and Storage (CCS) projects. Assessing storage site integrity and monitoring plume migration is crucial for CO2 storage. Evaluating model quality involves quantifying uncertainties in geological and subsurface parameters affecting CO2 behavior. Data Worth analysis appraises the value of various data types in managing uncertainty, helping prioritize data acquisition to improve model outputs and storage site reliability. While many data can be directly employed in a forward modelling approach, pressure measurements and other dynamic reservoir data are typically considered in an inverse modeling framework, usually performed in a stochastic context. Our field application at the Smeaheia storage complex suggests that the quantity of safely injectable CO2 is the most relevant uncertainty metric, and static pressure data plays a significant role in Data Worth analysis.

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/content/papers/10.3997/2214-4609.202510647
2025-06-02
2026-02-10
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References

  1. CO2DataShare - Smeaheia Dataset [2021]: https://co2datashare.org/dataset/smeaheia-dataset
    [Google Scholar]
  2. Emerick, A. A., & Reynolds, A. C. [2013] Ensemble smoother with multiple data assimilation. Computers & Geosciences, 55, 3–15.
    [Google Scholar]
  3. Fawad, M., Rahman, M. J., & Mondol, N. H. [2021] Seismic reservoir characterization of potential CO2 storage reservoir sandstones in Smeaheia area, Northern North Sea. JPSE, 205, 108812.
    [Google Scholar]
  4. Lima, M. M., Emerick, A. A., & Ortiz, C. E. [2020] Data-space inversion with ensemble smoother. Computational Geosciences, 24, 1179–1200.
    [Google Scholar]
  5. Lothe, A.E., Bergmo, P.E.S., Emmel, B. & Eliasson, P. [2018] Effects of Uncertainties in Fault Interpretations on Pressure Depletion and CO2 Storage Injection at Horda Platform, Offshore Norway. 2018 (GHGT-14)10.2139/ssrn.3366363
    [Google Scholar]
  6. Panfili, P., Patacchini, L., Ferrari, A., Garipov, T., Esler, K., & Cominelli, A. [2023] Implementation of Soreide and Whitson EoS in a GPU-based reservoir simulator. Computational Geosciences, 28(2), 341–354.
    [Google Scholar]
  7. Ringrose, P., Guo, T., Nybråten, E., Thompson, N., Wu, L., Worthington, R.,… & Santi, A. [2022] Gigatonne-Scale CO2 Storage: Analytical Frameworks for Optimizing Multiple Projects in Sedimentary Basins. Sixth International Conference on Fault and Top Seals (Vol. 2022, No. 1, pp. 1–5). European Association of Geoscientists & Engineers.
    [Google Scholar]
  8. Vold, I.G. [2022] Structural analysis of the Gamma closure, northern Horda Platform. U. Of OSLO.
    [Google Scholar]
  9. Xue, L., Zhang, D., Guadagnini, A., & Neuman, S. P. [2014] Multimodel Bayesian analysis of groundwater data worth. Water Resources Research, 50(11), 8481–8496.
    [Google Scholar]
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