Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic monitoring of the Schäftlarnstraße geothermal site (Munich, Germany)

¹; Thiemann, Katja; Gaucher, Emmanuel ¹
¹ Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

Download (RADAR4KIT)

Seitenaufrufe: 87
seit 03.04.2023

Zugehörige Institution(en) am KIT	Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp	Forschungsdaten
Publikationsdatum	03.04.2023
Erstellungsdatum	01.02.2022 - 01.08.2022
Identifikator	DOI: 10.5445/IR/1000157458 KITopen-ID: 1000157458
HGF-Programm	38.04.04 (POF IV, LK 01) Geoenergy
Lizenz	Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International
Projektinformation	INSIDE (BMWK, 03EE4008A)
Liesmich	Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy – Science, Society and Technology. 2023. mini-seed files include data subsets for both events studied in the article: DAS strain-rate data are sampled at 500Hz and provided unfiltered, with station names defined as the depth of the measuring point in well TH3 (datum is ground level). python codes associated with the processing of the DAS strain-rate datasets on the Azure cloud work stations. The codes aim in particular at reading HDF5 files generated by the interrogator and transferred to the Azure data lake. Corresponding author: Jerome Azzola, jerome.azzola@kit.edu
Art der Forschungsdaten	Dataset