LAPSE:2023.27606
Published Article

LAPSE:2023.27606
Risk Assessment of Fracturing Induced Earthquake in the Qiabuqia Geothermal Field, China
April 4, 2023
Abstract
In order to reduce the harm of induced earthquakes in the process of geothermal energy development, it is necessary to analyze and evaluate the induced earthquake risk of a geothermal site in advance. Based on the tectonic evolution and seismogenic history around the Qiabuqia geothermal field, the focal mechanism of the earthquake was determined, and then the magnitude and direction of in-situ stress were inversed with the survey data. At the depth of more than 5 km, the maximum principal stress is distributed along NE 37°, and the maximum principal stress reaches 82 MPa at the depth of 3500 m. The induced earthquakes are evaluated by using artificial neural network (ANN) combined with in-situ stress, focal mechanism, and tectonic conditions. The predicted earthquake maximum magnitude is close to magnitude 3.
In order to reduce the harm of induced earthquakes in the process of geothermal energy development, it is necessary to analyze and evaluate the induced earthquake risk of a geothermal site in advance. Based on the tectonic evolution and seismogenic history around the Qiabuqia geothermal field, the focal mechanism of the earthquake was determined, and then the magnitude and direction of in-situ stress were inversed with the survey data. At the depth of more than 5 km, the maximum principal stress is distributed along NE 37°, and the maximum principal stress reaches 82 MPa at the depth of 3500 m. The induced earthquakes are evaluated by using artificial neural network (ANN) combined with in-situ stress, focal mechanism, and tectonic conditions. The predicted earthquake maximum magnitude is close to magnitude 3.
Record ID
Keywords
ANN, focal mechanism, geothermal energy, in-situ stress, induced earthquake
Suggested Citation
Shan K, Zhang Y, Zheng Y, Li L, Deng H. Risk Assessment of Fracturing Induced Earthquake in the Qiabuqia Geothermal Field, China. (2023). LAPSE:2023.27606
Author Affiliations
Shan K: College of Construction Engineering, Jilin University, Changchun 130026, China
Zhang Y: College of Construction Engineering, Jilin University, Changchun 130026, China; Key Lab of Groundwater Resource and Environment Ministry of Education Jilin University, Changchun 130026, China
Zheng Y: Department of Civil, Environmental and Geomatic Engineering, University College London, Gower St., Bloomsbury, London WC1E 6BT, UK
Li L: College of Construction Engineering, Jilin University, Changchun 130026, China
Deng H: College of Construction Engineering, Jilin University, Changchun 130026, China
Zhang Y: College of Construction Engineering, Jilin University, Changchun 130026, China; Key Lab of Groundwater Resource and Environment Ministry of Education Jilin University, Changchun 130026, China
Zheng Y: Department of Civil, Environmental and Geomatic Engineering, University College London, Gower St., Bloomsbury, London WC1E 6BT, UK
Li L: College of Construction Engineering, Jilin University, Changchun 130026, China
Deng H: College of Construction Engineering, Jilin University, Changchun 130026, China
Journal Name
Energies
Volume
13
Issue
22
Article Number
E5977
Year
2020
Publication Date
2020-11-16
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13225977, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.27606
This Record
External Link

https://doi.org/10.3390/en13225977
Publisher Version
Download
Meta
Record Statistics
Record Views
235
Version History
[v1] (Original Submission)
Apr 4, 2023
Verified by curator on
Apr 4, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.27606
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.07 seconds)
[0.08 s]
