The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/02c46099-0f1e-486b-91b9-b5f0ecb30bc4

Naderloo, Milad; Barnhoorn, Auke; Veltmeijer, Aukje; Jansen, Jan Dirk; Anne Pluymakers (2024): Data from injection-driven fault reactivation experiments on faulted sandstone. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/02c46099-0f1e-486b-91b9-b5f0ecb30bc4.v1

Dataset

• Geophysics
• Other Earth Sciences
• Earth Sciences

Cyclic injection, Injection rate, Injection-induced seismicity, Porous reservoir, Seismicity mitigation, Slow-slip

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Milad Naderloo , Auke Barnhoorn , Aukje Veltmeijer , Jan Dirk Jansen , Anne Pluymakers

Human activities involving subsurface fluid injection projects, such as geothermal energy recovery and/or gas storage (CO₂, H₂ or methane), are widely acknowledged to occasionally cause earthquakes. We performed laboratory tests on highly permeable Red Felser sandstone containing a simulated geological fault to investigate effect of injection rate and pattern on fault movement. Triaxial injection-driven fault reactivation tests were performed alongside with passive acoustic measurements. This dataset contains mechanical data along with passive acoustic data from injection-driven fault reactivation experiments on faulted sandstone. Also python script used for analysis is provided. A detail information about the data is described within the readme file.

• 2024-05-06 first online, published, posted

4TU.ResearchData

• NWO prorgamme 'DeepNL' (project number DEEP.NL.2018.046)

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering