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Seismic and Sub-seismic Deformation Prediction in the Context of Geological Carbon Trapping and Storage

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Book cover Geological Storage of CO2 – Long Term Security Aspects

Abstract

In the joint project PROTECT (PRediction Of deformation To Ensure Carbon Traps) we predicted and quantified the distribution and the amount of sub-/seismic strain in the proximity of the CO2 reservoir in the Otway Basin. Three approaches fill the sub-seismic space: seismic multi-attributes stabilized the interpretation of the 3-D depth model by imaging small lineaments; retro-deformation revealed in the seal ca. 3 % as highest strain magnitudes; numerical forward modelling shows that the minimum horizontal stress at reservoir is locally overprinted by faults. We calibrated our predictions with new near-surface reflection seismic measurements and used advanced visualization tools. Thus, this seismo-mechanical workflow reveals possible migration pathways, and as such provides a tool for prediction and adapted time-dependent monitoring for subsurface storage in general.

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Acknowledgments

This work was sponsored in part by the Australian Commonwealth Government through the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC). PROTECT is funded through the Geotechnologien Programme (grant 03G0797) of the German Ministry for Education and Research (BMBF). The PROTECT research group consists of Leibniz Institute for Applied Geophysics (LIAG) in Hannover (coordinator), Technical University Darmstadt, Helmholtz Centre for Environmental Research (UFZ) in Leipzig, TEEC GmbH in Isernhagen (all in Germany) and Curtin University in Perth, Australia. We thank Midland Valley Exploration Ltd for their software suite Move2012 and for discussion.

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Correspondence to Charlotte M. Krawczyk .

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Krawczyk, C.M. et al. (2015). Seismic and Sub-seismic Deformation Prediction in the Context of Geological Carbon Trapping and Storage. In: Liebscher, A., Münch, U. (eds) Geological Storage of CO2 – Long Term Security Aspects. Advanced Technologies in Earth Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-13930-2_5

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