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Seismostatistical Characterization of Earthquakes from Geothermal Reservoirs

机译:地热水库地震的地震统计鉴定

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The occurrence of induced seismicity in the form of felt earthquakes has been recognized as one of the critical environmental burdens associated with recent geothermal development. For this reason, research into enabling technologies for risk assessment of larger magnitude induced events has taken on an increased priority. In this study, we have applied a seismostatistical modeling method to microseismic data collected at two geothermal fields and have investigated its feasibility for risk assessment. Here we have applied the Epidemic Type Aftershock Sequence (ETAS) model (Ogata, 1988), which has been widely used in the area of natural seismology, as a first step in this geothermal earthquake risk assessment study. The microseismicity observed at Yanaizu-Nishiyama, one of the largest hydrothermal geothermal fields in Japan, has been successfully modeled with ETAS. Induced seismicity at the Basel EGS site in Switzerland was also modeled with ETAS, in this case using short moving time windows since modeling for the whole seismically active period was unsuccessful. Our study suggests that one of the parameters in the ETAS model, which has previously been interpreted to represent the occurrence rate of events triggered by external forcing (Hainzl and Ogata, 2005), can in both our cases be correlated with the treatment/stimulation injection rate into each reservoir. Our preliminary results demonstrate the feasibility of seismostatistical modeling in assessing the risks of felt earthquakes associated with various human operations in geothermal reservoirs, although further investigation and modeling of behavior of induced seismicity is required.
机译:毛毡地震形式的诱导地震性的发生被认为是与最近地热发展有关的关键环境负担之一。出于这个原因,对较大幅度诱导事件的风险评估启动技术的研究已经采取了增加的优先级。在这项研究中,我们将Seismostatisticatix算法模型应用于两个地热领域收集的微震数据,并研究了其对风险评估的可行性。在这里,我们应用了疫情型余震序列(ETAS)模型(EAGATA)模型(EAGATA,1988),该序列已被广泛应用于天然地震学区,作为该地热地震风险评估研究的第一步。在日本最大的热热地热田之一观察到的雌激炎,已经成功地建模了eta。在瑞士的巴塞尔EGS站点的诱发地震性也与ETAS建模,在这种情况下,使用短的移动时间窗口,因为为整个地震活动的建模是不成功的。我们的研究表明,先前被解释为代表外部强制触发的事件发生率的ETAS模型中的一个参数(HainzL和Ogata,2005),可以在我们的情况下与治疗/刺激注射相关联进入每个水库。我们的初步结果表明了地震统计学建模在评估与地热储层中各种人类行动相关的毛毡地震风险的可行性,尽管需要进一步调查和建模诱导地震性的行为。

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