The continuous monitoring of the space-time-magnitude evolution of seismicity is a crucial task to assess the geo-mechanical conditions of hydrocarbon reservoirs. It is fundamental to design optimized high-sensitivity and cost-effective seismic networks able to detect and locate low magnitude events with high accuracy. In Italy, after the concern for the 2012 Emilia earthquake, the government released the guidelines for monitoring the seismicity in areas surrounding subsurface industrial activities. In this work, we propose an optimization study for seismic monitoring networks based on the guideline requirements. We evaluated the performance, in terms of detection/location thresholds and events location errors, of different network layouts constructed by varying the station density and geometry and considering also the integration of seismic arrays. We simulated sets of seismic sources at different depths by varying magnitude and stress drop values. We considered two different values of noise level at the stations. The results show that the station density and the noise level represent the crucial parameters for the seismic network performances. The performances of a standard network comply the guidelines requirements in terms of detection/location thresholds. Only the integration of seismic networks with arrays allows to decrease the location errors of several hundreds of meters and to reach the location accuracy required by the Italian guidelines. We foresee the integration of standard networks with seismic arrays to achieve high performance in terms of detection capability and location accuracy.

连续监测地震活动的时空幅度变化是评估油气藏地质力学条件的关键任务。设计优化的高灵敏度，高性价比的地震网络，以高精度检测和定位低震级事件，是至关重要的。在意大利，由于担心2012年艾米利亚大地震，政府发布了监测地下工业活动周围地区地震活动的准则。在这项工作中，我们根据准则要求提出了对地震监测网络的优化研究。我们根据检测/定位阈值和事件定位错误评估了性能，通过改变站台密度和几何形状并考虑地震阵列的集成来构造不同的网络布局。我们通过改变幅度和应力降值来模拟不同深度的地震震源组。我们考虑了车站的两个不同的噪声水平值。结果表明，站密度和噪声水平是地震网络性能的关键参数。标准网络的性能在检测/位置阈值方面符合准则要求。只有将地震网络与阵列集成在一起，才能减少几百米的定位误差，并达到意大利指南要求的定位精度。