Integration of Geoscience and Engineering Concepts to Account for Natural Fractures in Fluid Flow within Shale Reservoirs

Clay Kurison, A. Hakami, S. Kuleli
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Abstract

Unconventional shale reservoirs are characterized by low porosity and ultra-low permeability. Natural fractures are known to be present and considered a critical factor for the enhanced post-stimulation productivity. Accounting for natural fractures with existing techniques has not been widely adopted owing to their complexity or lack of validation. Ongoing research efforts are striving to understand how natural fractures can be accounted for and accurately modeled in fluid flow of the subject reservoirs. This study utilized Eagle Ford well data comprising reservoir properties, stimulation metrics, production, microseismicity and permeability measurements from a core plug. The methodology comprised use of production data to extract a linear flow regime parameter. This was coupled with fracture geometry, predicted from hydraulic fracture modeling and microseismicity, to estimate the system permeability. From interpreting microseismic events as slips on critically stressed natural fractures, explicit modeling incorporating a discrete fracture network (DFN) assumed activated natural fractures supplement conductive reservoir contact area. Thus, allowed the estimation of matrix permeability. For validation, the aforementioned was compared with core plug permeability measurements. Results from modeling of planar hydraulic fractures, with microseismicity as validation, predicted planar fracture geometry which when coupled with the linear flow parameter resulted in a system permeability. Incorporation of DFNs to account for activated natural fractures yielded matrix permeability in picodarcy range. A review of laboratory permeability measurements exhibited stress dependence with the value at the maximum experimental confining pressure of 4000 psi in the same range as the computed system permeability. However, the confining pressures used in the experiments were less than the in situ effective stress. Correction for representative stress yielded an ultra-low matrix permeability in the same range as the DFN-based picodarcy matrix permeability. Thus, supporting the adopted drainage architecture and often suggested role of natural fractures in shale reservoir fluid flow. This study presents a multi-discipline workflow to account for natural fractures, and contributes to understanding that will improve laboratory petrophysics and the overall reservoir characterization of the subject reservoirs. Given that the Eagle Ford is an analogue of emerging shales elsewhere, results from this study can be widely adopted.
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整合地球科学和工程概念来解释页岩储层流体流动中的天然裂缝
非常规页岩储层具有低孔、超低渗的特点。天然裂缝是已知存在的,并且被认为是提高增产后产能的关键因素。由于现有技术的复杂性或缺乏验证,它们尚未被广泛采用。正在进行的研究工作正在努力了解如何在主体储层的流体流动中解释和准确地模拟天然裂缝。该研究利用Eagle Ford井的数据,包括储层特性、增产指标、产量、微震活动和岩心塞的渗透率测量数据。该方法包括利用生产数据提取线性流态参数。结合水力裂缝建模和微地震活动预测的裂缝几何形状,来估算系统渗透率。通过将微地震事件解释为临界应力天然裂缝的滑动,结合离散裂缝网络(DFN)的显式建模假设活化的天然裂缝补充了导电储层接触面积。因此,可以估计基质渗透率。为了验证,将上述方法与岩心塞渗透率测量结果进行了比较。平面水力裂缝建模的结果,以微震活动性为验证,预测了平面裂缝的几何形状,当与线性流动参数相结合时,得到了系统渗透率。结合DFNs来解释活化的天然裂缝,得到的基质渗透率在皮达西范围内。对实验室渗透率测量的回顾显示,在最大实验围压为4000 psi时,与计算系统渗透率相同的范围内,应力依赖于该值。然而,实验中使用的围压小于原位有效应力。对代表性应力进行校正后,得到的超低基质渗透率与基于ddn的皮达西基质渗透率相同。因此,支持所采用的排水结构和通常提出的天然裂缝在页岩储层流体流动中的作用。该研究提出了一个多学科的工作流程来解释天然裂缝,并有助于理解,将改善实验室岩石物理和整体储层的表征。考虑到Eagle Ford是其他地方新兴页岩的类似物,这项研究的结果可以被广泛采用。
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