This study statistically evaluated the characteristics of induced earthquakes by geothermal power plants(GPPs)and generated a probabilistic model for simulating stochastic seismic events.Four well-known power plant zo...This study statistically evaluated the characteristics of induced earthquakes by geothermal power plants(GPPs)and generated a probabilistic model for simulating stochastic seismic events.Four well-known power plant zones were selected worldwide from the United States,Germany,France,and New Zealand.The operational condition information,as well as the corresponding earthquake catalogs recorded in the vicinity of GPPs,were gathered from their commencement date.The statistical properties of events were studied elaborately.By using this proposed database,a probabilistic model was developed capable of generating the number of induced seismic events per month,their magnitude,focal depth,and distance from the epicenter to the power plant,randomly.All of these parameters are simulated as a function of power plant injection rate.Generally speaking,the model,introduced in this study,is a tool for engineers and scientists interested in the seismic risk assessment of built environments prone to induced seismicity produced by GPPs operation.展开更多
基金TUM Talent Factory division of the Technical University of München for its support by providing a TUM University Foundation Fellowship for Dr.Ali Khansefid
文摘This study statistically evaluated the characteristics of induced earthquakes by geothermal power plants(GPPs)and generated a probabilistic model for simulating stochastic seismic events.Four well-known power plant zones were selected worldwide from the United States,Germany,France,and New Zealand.The operational condition information,as well as the corresponding earthquake catalogs recorded in the vicinity of GPPs,were gathered from their commencement date.The statistical properties of events were studied elaborately.By using this proposed database,a probabilistic model was developed capable of generating the number of induced seismic events per month,their magnitude,focal depth,and distance from the epicenter to the power plant,randomly.All of these parameters are simulated as a function of power plant injection rate.Generally speaking,the model,introduced in this study,is a tool for engineers and scientists interested in the seismic risk assessment of built environments prone to induced seismicity produced by GPPs operation.
