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Effective anisotropic velocity model from surface monitoring of microseismic events

机译:微震事件表面监测的有效各向异性速度模型

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摘要

We develop a methodology to obtain a consistent velocity model from calibration shots or microseismicity observed on a buried array. Using a layered 1D isotropic model derived from checkshots as an initial velocity model, we invert P‐wave arrival times to obtain effective anisotropic parameters with a vertical axis of symmetry (VTI). The nonlinear inversion uses iteration between linearized inversion for anisotropic parameters and origin times or depths, which is specific to microseismic monitoring. We apply this technique to multiple microseismic events from several treatments within a buried array. The joint inversion of selected events shows a largely reduced RMS error indicating that we can obtain robust estimates of anisotropic parameters, however we do not show improved source locations. For joint inversion of multiple microseismic events we obtained Thomsen anisotropic parameters ε of 0.15 and δ of 0.05, which are consistent with values observed in active seismic surveys. These values allow us to locate microseismic events from multiple hydraulic fracture treatments separated across thousands of metres with a single velocity model. As a result, we invert the effective anisotropy for the buried array region and are able to provide a more consistent microseismicity mapping for past and future hydraulic fracture stimulations.
机译:我们开发了一种方法,可以从埋入阵列上观察到的校准镜头或微地震中获得一致的速度模型。使用从支点图导出的分层一维各向同性模型作为初始速度模型,我们反转了P波的到达时间,以获得具有垂直对称轴(VTI)的有效各向异性参数。非线性反演使用各向异性参数的线性化反演和原始时间或深度之间的迭代,这是微地震监测所特有的。我们将这项技术应用于掩埋阵列中多种处理带来的多种微地震事件。选定事件的联合反演显示出大大降低的RMS误差,表明我们可以获得各向异性参数的可靠估计,但是并未显示出改进的震源位置。对于多个微地震事件的联合反演,我们获得了Thomsen各向异性参数ε为0.15和δ为0.05,这与在主动地震勘探中观察到的值一致。这些值使我们能够使用单个速度模型来定位跨数千米的多次水力压裂处理产生的微地震事件。结果,我们反转了埋藏阵列区域的有效各向异性,并能够为过去和将来的水力压裂增产提供更一致的微震测绘。

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