Installation of microseismic monitoring networks in geothermal fields


Creative Commons License

Tunç S., Selek B., KOCA B., Selek Ü. S., Balcı K., Yıldırım A., ...Daha Fazla

Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.38, sa.3, ss.1307-1319, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.17341/gazimmfd.1050313
  • Dergi Adı: Journal of the Faculty of Engineering and Architecture of Gazi University
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Art Source, Compendex, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1307-1319
  • Anahtar Kelimeler: Geothermal Systems, Microseismic Monitoring, Noise Analysis, Passive Seismic
  • Ankara Üniversitesi Adresli: Evet

Özet

© 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.This study includes the properties and installation stages of the microseismic network planned to be installed in a geothermal field in Turkey, which is currently producing electricity, in order to monitor the induced seismicity that will occur due to production and re-injection wells. The results of how the optimum microseismic monitoring network should be installed, the installation studies and the noise analysis of the station locations are given for this and similar geothermal fields. 7 borehole type seismometers were placed in wells drilled 65 meters deep and microseismic records of the field were obtained. The leading field equipment is SARA-SS10BHV three-component (3C) borehole type short-period velocity seismometers, and the analog data were digitized with 24-bit SL06 brand recorders. In data analysis, high frequency, low energy and small amplitude microseismic events were dealt within passive seismic records. Therefore, noise analysis is the most important step of the network installation. In the noise analysis studies, the background noise at the locations where the microseismic network stations will be deployed was determined by measurements from both on the surface and through the well, and then the results were compared with each other. According to the results, it has been determined that the noise level in the well is very low compared to the surface and this is at a suitable level for microseismic monitoring networks.