Beyond the Dots in the Box – Microseismicity-constrained Fracture Models for Reservoir Simulation

Beyond the Dots in the Box – Microseismicity-constrained Fracture Models for Reservoir Simulation
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超越盒子里的点——用于油藏模拟的微震约束断裂模型

DOI:
10.3997/2214-4609.201400768
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发表时间:
2010
影响因子:
3
通讯作者:
M. Thornton
M. Thornton
中科院分区:
地球科学3区
文献类型:
--
作者:
P. Duncan;Sherilyn Williams;L. Eisner;A. Hill;M. Thornton

文献摘要

被引文献

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这些事件的地点和这些“盒子里的点”的几何解释。在这项研究中,我们展示了如何从观测到的微地震事件中获得额外的信息,即震源机制,来产生一个离散的裂缝网络。对美国大陆页岩气储层处理过程中的微地震事件进行了体积和剪切源机制反演。震源机制比仅从微震事件位置推断裂缝方向更准确。与不同机制相关的活动被解释为表明岩石中现有裂缝的重新激活,以及新裂缝的产生。利用单个事件的源机制进行失效分析,可以对储层中发生的复杂裂缝相互作用进行综合理解,也可以更全面地了解处理过程中储层的应力状况。裂缝的方向、位置和破坏机制被转化为离散裂缝网络(DFN)模型,可用于验证裂缝处理过程中产生或重新激活的裂缝的范围和特征,并可能最终用于生成油藏模拟的裂缝流动特性。
locations for these events and a geometrical interpretation of these ‘dots in the box’. In this study we show how additional information obtained from observed microseismic events, namely the source mechanisms, were used to generate a discrete fracture network. Both volumetric and shear-only source mechanism inversion was carried out on microseismic events from the treatment of a shale gas reservoir in the continental US. The source mechanisms revealed fracture orientations more accurately than could be inferred from microseismic event locations alone. The activity associated with different mechanisms is interpreted as indicating reactivation of existing fractures in the rock, as well as suggesting generation of new fractures. Failure analysis using source mechanisms on individual events allows an integrated understanding of the complex fracture interactions taking place in the reservoir, and also provides a more complete understanding of the stress conditions in the reservoir during the treatment. Fracture orientations, locations, and failure mechanisms are translated into discrete fracture network (DFN) models that can be used to verify the extent and character of the fractures created or reactivated during the fracture treatment, and may ultimately be used to generate fracture flow properties for reservoir simulation.