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A novel approach for geomechanical modelling in the absence of stress magnitude data

Urheber*innen

Rajabi,  Mojtaba
External Organizations;

/persons/resource/mziegler

Ziegler,  M.
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Ranjbarkarami,  Rasoul
External Organizations;

Tavoosiiraj,  Parisa
External Organizations;

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5025849.pdf
(Postprint), 340KB

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Zitation

Rajabi, M., Ziegler, M., Ranjbarkarami, R., Tavoosiiraj, P. (2024): A novel approach for geomechanical modelling in the absence of stress magnitude data. - Australian Energy Producers Journal, 64, S1, S275-S279.
https://doi.org/10.1071/EP23123


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025849
Zusammenfassung
Geomechanics play an important role in any underground activity, such as carbon dioxide (CO2) and hydrogen (H2) geo-storage, owing to the considerable hazards linked to the injection and withdrawal of fluids into and from the subsurface. In order to quantify these risks, knowledge of full stress tensor is required. Yet, most of our stress information in the Australian target basins for geo-storage is limited to the stress orientations, while stress magnitude data is sparse. 3D geomechanical modelling has proved to be an invaluable tool for prediction of full stress tensor. Nevertheless, a model requires some stress magnitude data in order to tune the model to be representative of real stress state. In situations where stress magnitude data is lacking, this means that the model is susceptible to significant uncertainties. Herein, we present a novel strategy for stress modelling, which involves the utilisation of indirect data such as borehole breakouts, drilling-induced fractures, seismic activity records, and formation integrity tests to calibrate a 3D geomechanical model. We employ the northern Bowen Basin, an onshore basin in Queensland, Australia, as a case study for a comprehensive 3D geomechanical modelling approach. We assess all the indirect information in the model’s volume to narrow down the model predictions and find the most reliable stress state. This innovative approach is an important step forward in stress modelling of Australian basins, where lack of stress magnitudes is a great challenge for geomechanical assessment of geo-storage.