Convertito Vincenzo, De Matteis Raffaella, Amoroso Ortensia, Capuano Paolo
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Via Diocleziano 328, 80124, Napoli, Italy.
Dipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100, Benevento, Italy.
Sci Rep. 2022 Jul 25;12(1):12632. doi: 10.1038/s41598-022-16815-x.
Sub surface operations for energy production such as gas storage, fluid injection or hydraulic fracking modify the physical properties of the crust, in particular seismic velocity and anelastic attenuation. Continuously measuring these properties may be crucial to monitor the status of the reservoir. Here we propose a not usual use of the empirical ground-motion prediction equations (GMPEs) to monitor large-scale medium properties variations in a reservoir during fluid injection experiments. In practice, peak-ground velocities recorded during field operations are used to update the coefficients of a reference GMPE whose variation can be physically interpreted in terms of anelastic attenuation and seismic velocity. We apply the technique to earthquakes recorded at The Geysers geothermal field in Southern California and events occurred in the St. Gallen (Switzerland) geothermal field. Our results suggest that the GMPEs can be effectively used as a proxy for some reservoir properties variation by using induced earthquakes recorded at relatively dense networks.
诸如储气、流体注入或水力压裂等地下能源生产作业会改变地壳的物理性质,特别是地震波速度和滞弹性衰减。持续测量这些性质对于监测储层状态可能至关重要。在此,我们提出一种对经验地面运动预测方程(GMPEs)的非常规应用,以监测流体注入实验期间储层中大规模介质性质的变化。在实际操作中,现场作业期间记录的峰值地面速度用于更新参考GMPE的系数,其变化可以从滞弹性衰减和地震波速度方面进行物理解释。我们将该技术应用于南加州间歇泉地热田记录的地震以及瑞士圣加仑地热田发生的事件。我们的结果表明,通过使用在相对密集的网络中记录的诱发地震,GMPEs可以有效地用作某些储层性质变化的代理。