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Modeling Microseismic Activity in the Newberry Enhanced Geothermal System

机译:新果增强地热系统模拟微震活动

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During the stimulation of an enhanced geothermal system (EGS), the timing and location of induced microseismicity is one of the key indicators for the stimulation's effectiveness. In our analysis, we constructed a 3D, fully-coupled, thermo-hydraulic-mechanical (THM) model of the Newberry EGS, which includes a realization of a discrete fracture network (DFN), using the GEOS platform (Settgast et al., 2016; Sherman et al., 2016). We perform a statistical analysis of the shear and normal dislocations on the DFN to estimate the degree of microseismic activity within voxelized regions of the model. This method properly quantifies the effects of microseismic activities that would otherwise require element sizes too small to be computationally tractable. We then apply the same algorithm to an equivalent estimate of activity using the field microseismic catalog. Using the predicted pressure, flow rate, and microseismic activity data, we calibrate our model against a set of hydroshearing stimulations in the region performed by AltaRock during 2012 and 2014.
机译:在刺激增强的地热系统(EGS)期间,诱导微震性的定时和位置是刺激效果的关键指标之一。在我们的分析中,我们构建了使用Geos平台的离散骨折网络(DFN)的3D,完全耦合的热水液压(THM)模型(Settgast等, 2016;谢尔曼等人。,2016)。我们对DFN上的剪切和正常脱位进行统计分析,以估计模型的体蛋白化区域内的微震活性程度。该方法适当地量化了微震活动的影响,否则将需要元素尺寸的微震活动太小,无法计算易行。然后,我们将相同的算法应用于使用现场微震目录的等效活动估计。使用预测的压力,流速和微震活动数据,我们将我们的模型与2012年和2014年在2012年和2014期间由Altarock进行的区域中的一组水管刺激进行校准。

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