首页> 外文期刊>Soil Dynamics and Earthquake Engineering >Seismic network design to detect felt ground motions from induced seismicity
【24h】

Seismic network design to detect felt ground motions from induced seismicity

机译:地震网络设计,用于从感应地震活动中检测毡地运动

获取原文
获取原文并翻译 | 示例
           

摘要

Human activities, such as fluid injection as part of the stimulation of an enhanced geothermal system (EGS) for heat and power production, can cause damaging earthquake ground motions. A difficulty in quickly settling or rejecting insurance claims to the policy of the EGS operator is the lack of ground truth on the observed shaking at sites of reported damage. To overcome this problem a local seismic network could be installed prior to injection to constrain the ground-motion field at points of potential damage. Since the installation and maintenance of seismometers are costly there is an incentive to keep the number of instruments to a minimum. In this short communication, ground-motion fields are simulated and receiver operating characteristic analysis is conducted to guide decisions on the number of sensors required to obtain a certain confidence in the rate of false alarms and missed detections. For densities of 10-20 instruments per km2 the ability to estimate potentially damaging ground motions is reasonable but associated with a significant chance of missed detections and false alarms. If an EGS operator or regulatory authority does not want to accept such chances then network densities of 50-100 instruments per km2 are required and even in this case the exceedanceon-exceedance of a certain ground-motion threshold cannot be completely constrained.
机译:人类活动,例如注入流体作为刺激增强的地热系统(EGS)进行热能和电力生产的一部分,会造成破坏性的地震动。快速解决或拒绝EGS运营商保单的保险索赔的一个困难是,在所报告的损坏现场观察到的晃动缺乏真实性。为了克服这个问题,可以在注入之前安装局部地震网络,以将地震动场限制在潜在的破坏点。由于地震仪的安装和维护成本很高,因此有动机将仪器的数量保持在最低水平。在这种简短的通信中,模拟了地面运动场,并进行了接收器工作特性分析,以指导对误报率和漏检率获得一定置信度所需的传感器数量进行决策。对于每平方公里10到20台仪器的密度,估计潜在的破坏性地面运动的能力是合理的,但与错过检测和误报的可能性很大。如果EGS运营商或监管机构不愿意接受这种机会,则网络密度要求为每平方千米50-100台仪器,即使在这种情况下,也不能完全限制某个地面运动阈值的超出/不超过。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号