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Determination of stimulated reservoir volume and anisotropic permeability using analytical modelling of microseismic and hydraulic fracturing parameters
Gas Science and Engineering ( IF 5.285 ) Pub Date : 2018-10-01 , DOI: 10.1016/j.jngse.2018.08.016
Yew Kwang Yong , Belladonna Maulianda , Sia Chee Wee , Dzeti Mohshim , Khaled Abdalla Elraies , Ron CK. Wong , Ian D. Gates , David Eaton

Abstract The concept of stimulated reservoir volume (SRV) provides a link between well productivity, the observed distribution of microseismic events and fracture networks that are created or enhanced during well completion. The SRV dimensions are affected by both reservoir geomechanical properties and hydraulic fracturing parameters. This research focuses on the determination of anisotropic permeability and the estimation of the SRV dimensions by refining the existing 3D linear diffusivity partial differential equation (PDE). The anisotropic permeability and the SRV are both calibrated using the analytical solution, based on determination of microseismic events that are inferred to be connected back to the horizontal wellbore. An improved analytical 3D linear diffusivity PDE model is proposed to simulate the anisotropic permeability and the SRV dimension with higher percentage of microseismic events. In a case study from western Canada, the proposed approach yields improved the prediction of the SRV dimension that consists 90% of microseismic events within the SRV, compared to the existing analytical solution predicts the SRV dimension that consists 70% of microseismic events within the SRV. The SRV anisotropic permeability is also estimated using the proposed model with the average values of 0.1897 mD (SRV length direction), 0.1112 mD (SRV width direction), and 0.0138 mD (SRV height direction) from 12 stages hydraulic fracturing. The simplicity of the proposed model allows the SRV dimensions estimation before hydraulic fracturing operations.

中文翻译:

使用微地震和水力压裂参数的分析模型确定增产储层体积和各向异性渗透率

摘要 增产储层体积 (SRV) 的概念提供了井产能、微震事件的观测分布和完井过程中产生或增强的裂缝网络之间的联系。SRV 尺寸受储层地质力学特性和水力压裂参数的影响。这项研究的重点是通过改进现有的 3D 线性扩散率偏微分方程 (PDE) 来确定各向异性渗透率和估计 SRV 尺寸。各向异性渗透率和 SRV 均使用解析解进行校准,基于对推断为连接回水平井筒的微地震事件的确定。提出了一种改进的分析 3D 线性扩散率 PDE 模型,以模拟各向异性渗透率和具有较高微震事件百分比的 SRV 维度。在加拿大西部的一个案例研究中,与现有的分析解决方案预测由 SRV 内 70% 的微地震事件组成的 SRV 维度相比,所提出的方法改进了对 SRV 维度的预测,该维度由 SRV 内的 90% 的微地震事件组成. SRV 各向异性渗透率也使用所提出的模型估算,其平均值为 0.1897 mD(SRV 长度方向)、0.1112 mD(SRV 宽度方向)和 0.0138 mD(SRV 高度方向)来自 12 级水力压裂。所提出模型的简单性允许在水力压裂操作之前进行 SRV 尺寸估计。
更新日期:2018-10-01
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