ORIGINAL RESEARCH article

Front. Earth Sci.

Sec. Georeservoirs

Volume 13 - 2025 | doi: 10.3389/feart.2025.1487480

Quantitative matching of CO 2 amounts via seismic attributes in the Sleipner field

Provisionally accepted
SNONS  CHEONGSNONS CHEONG1*Subbarao  YelisettiSubbarao Yelisetti2Veronica  SanchezVeronica Sanchez2
  • 1Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea
  • 2Texas A&M University Kingsville, Kingsville, Texas, United States

The final, formatted version of the article will be published soon.

The Sleipner field in the North Sea has been a cornerstone in the study of aquifer CO 2 sequestration, with over 20 years of monitoring through time-lapse seismic analysis. This world-class project has provided critical insight into CO 2 storage by detecting anomalous events in seismic imagery, confirming CO 2 migration, and stabilization within the subsurface. The study observed the growth of the CO 2 plume within the storage aquifer layer by analyzing the seismic amplitude differences between baseline and subsequent monitoring data. The availability of precise seismic datasets in the Sleipner project has not only facilitated monitoring validation but also spurred further research into CO 2 quantification. This study focused on verifying the correlation between the amounts of stored CO 2 and seismic attributes. Reflection data previously acquired revealed seismic anomalies attributed to the subsurface CO 2 plume. The trace envelope attribute, which only registers positive values, was found to be particularly effective in delineating the primary boundary of the CO 2 affected region. To advance quantitative monitoring, a new CO 2 indicator attribute was developed, derived from the trace envelope and similarity variance. The application of this attribute resulted in an improvement in regression estimation accuracy, increasing from 0.9895 to 0.9906. The successful matching of CO 2 storage data with seismic attributes demonstrates that fluid substitution can be quantitatively assessed using seismic data manipulation over time, underscoring the potential of seismic analysis for accurate CO 2 monitoring in subsurface storage projects.

Keywords: CO 2 storage, Quantitative monitoring, Seismic attributes, Sleipner Project, CO 2 indicator

Received: 28 Aug 2024; Accepted: 27 Jun 2025.

Copyright: © 2025 CHEONG, Yelisetti and Sanchez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: SNONS CHEONG, Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea

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