桥接地质力学和地球物理数值模拟:地震效率和破裂速度评价及其在水力压裂裂缝网估算中的应用

F. Sheibani, B. Hager
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引用次数: 0

摘要

微震监测通常是估计压裂裂缝体积最可靠的方法。微震监测中使用的接收器只能测量地震事件。这一限制解释了为什么在水力压裂过程中,只有一小部分能量预算可以通过微地震监测获得的信息来估计。我们进行了一系列数值实验来研究岩石力学特性和裂缝摩擦特性对地震效率和破裂速度的影响。我们对三轴载荷下的锯切样品进行了声发射数值实验,并对天然裂缝进行了滑移弱化本构模型,研究了杨氏模量和滑移弱化距离对地震效率和破裂速度的影响。也许令人惊讶的是,我们的研究结果表明,杨氏模量值较高的岩石,由于预先存在的天然裂缝滑动而产生的地震效率较低,而较低的刚度导致更高的地震效率。这些结果与一般关于刚性对脆性影响的看法并不矛盾。岩石越坚硬,越有利于水力压裂,裂缝网越大;然而,与刚性较低的岩石相比,地震探测到的事件较少。研究结果还为如何将天然裂缝性储层水力裂缝的地质力学数值模拟与现场微地震数据和实际的地下裂缝网络联系起来提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging Geomechanical and Geophysical Numerical Modeling: Evaluation of Seismic Efficiency and Rupture Velocity with Application to Estimating the Fractured Network Generated by Hydraulic Fracturing
Microseismic monitoring is generally the most reliable method for estimating stimulated fractured volume. Receivers used in microseismic monitoring measure only seismic events. That limitation explains why only a small portion of the energy budget during hydraulic fracturing can be estimated by information obtained from microseismic monitoring. We performed a series of numerical experiments to investigate the effects of rock mechanical properties and fracture friction characteristics on seismic efficiency and rupture velocity. We conducted numerical experiments using acoustic emission for saw-cut samples under triaxial loads and applied slip-weakening constitutive modeling for natural fractures to study how the Young's modulus and slip-weakening distance affect seismic efficiency and rupture velocity. Perhaps surprisingly, our results show that rocks with higher values of the Young's modulus have lower seismic efficiency generated from sliding on pre-existing natural fractures, while lower rigidity leads to higher seismic efficiency. These results do not contradict general beliefs about the effect of rigidity on fracability. More rigid rocks are more favorable for hydraulic fracturing and generate larger fracture networks; however, compared with less rigid rocks, fewer events would be detected seismically. The results also give insight into how to connect geomechanical numerical modeling of hydraulic fractures in naturally fractured reservoirs with microseismic data from the field and actual subsurface-generated fractured networks.
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