CO2 DataShare reaches over 65,000 downloads and launches 3 new datasets

CO₂ DataShare is an international initiative designed to accelerate Carbon Capture and Storage (CCS) research and deployment. Managed by SINTEF and hosted by Sigma2, the online resource makes curated datasets from CCS projects freely available to researchers worldwide (https://ieaghg.org/news/sharing-co2-data-with-the-world/). Established in 2020, it was part of the Norwegian CCS Research Centre (NCCS) and supported by partners such as NTNU, IEAGHG, Gassnova’s CLIMIT RD&D Program, and the U.S. Department of Energy, with past support from Equinor and the University of Illinois. Currently, it is part of the new CCS research centre gigaCCS.

The first raft of datasets has been predominantly from geological CO₂ storage projects in Norway and the USA, with data from two active CCS storage projects: Sleipner in Norway (4D Seismic[1] and the 2019 Benchmark Model[2]) and a reference dataset from the Illinois Basin Decatur Project[3]. Further data are derived from the assessment of potential storage sites and formations in Norway: the Johansen Formation, Smeaheia[4], and from the Northern Lights project[5] (which started storing CO₂ in August 2025).

The goal of making datasets available to researchers to develop ideas and concepts can be tangibly measured in download figures, with over 65k total downloads and established datasets such as the Smeaheia and Sleipner 4D Seismic having ~18k and ~17k downloads respectively. Each dataset has its own DOI and is easily referenced in publications such as conference proceedings and journal articles (see a few examples referenced below).

Plans are now afoot to expand the offerings to include transport and capture parts of the value chain. In the past year, CO₂ DataShare has shared three new datasets and one of these is an infrastructure related tool.

In May 2025, CO₂ DataShare announced the release of a new seismic dataset from the Svelvik Field Laboratory (located south of Oslo, Norway), generated during a Pre-Act project.  CO₂ was injected into a 65m deep well with four surrounding monitoring wells, and a 4D seismic dataset was collected prior, during and after injection. An IEAGHG hosted webinar held in May details the experimental set-up, data collection and results https://www.youtube.com/watch?v=dWTu16JNPGc

A second suite of geomechanical data from the Northern Lights project, offshore Norway, has been released by NGI, part of a rock mechanical testing program on sandstone and shale units in the CCS exploration well 31/7 (EoS). This includes data which explores the thermomechanical response of the reservoir and caprock to CO₂ injection at realistic temperatures.

SimCCS, is an open-source optimisation tool developed by Los Alamos National Laboratory with support from the US DOE.  This tool enables the planning of CO₂ capture, transport, utilisation and storage infrastructure at multiple scales and incudes a cost-optimisation feature. A link to the software, together with a dataset and user guide is available on CO₂ DataShare and can be useful for researchers, policy makers and industry stakeholders to generate candidate infrastructure networks.

With more datasets in the pipeline, it is hoped that these offerings will be a useful resource for researchers and developers to test their ideas and expand their knowledge – with the aim of facilitating safe storage of CO₂. 

If you would like to get in touch to suggest other datasets that would be of interest, or to let us know how you plan to use any of these resources – we’d be very open to a conversation. Please get in touch with Grethe.Tangen@sintef.no and Odd.Andersen@sintef.no.   


[1] Solatpour, R., Oliveria, G., Yatte, F., Alvarez, A. and Fernandes, S., 2025, October. CCS Plume Dynamics History Matching and Uncertainty Assessment through Integrated Numerical Simulation and 4D Seismic Interpretation. In First EAGE/AAPG/SEG Carbon Capture Utilisation and Storage Workshop (CCUS) (Vol. 2025, No. 1, pp. 1-3). European Association of Geoscientists & Engineers.
[2] Callioli Santi, A., Ringrose, P., Eidsvik, J. and Haugdahl, T.A., 2022, October. Assessing co2 storage containment risks using an invasion percolation markov chain concept. In Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) (pp. 23-24).
[3] Rathmaier, D., Naim, F., William, A.C., Chakraborty, D., Conwell, C., Imhof, M., Holmes, G.M. and Zerpa, L.E., 2024. A reservoir modeling study for the evaluation of CO2 storage upscaling at the decatur site in the Eastern Illinois Basin. Energies, 17(5), p.1212.
[4] Skjæveland, Ø.M. and Nilsen, C.C., 2025, June. Best-Correlation-First Principle for Automated Multi-Horizon Tracking. In 86th EAGE Annual Conference & Exhibition (Vol. 2025, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
[5] Griffiths, L., Thompson, N., Smith, H., Skurtveit, E. and Grande, L., 2025. Rock mechanical testing of core from the Eos Northern Lights CCS confirmation well and implications for the Geomechanics of North Sea CO2 storage. International Journal of Greenhouse Gas Control, 144, p.104371.