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Predicting Pore Volume and Transmissibility Multipliers For Simulating Geomechanical Effects in Naturally Fractured Reservoirs

机译:预测孔隙体积和传感器倍增器,用于在天然裂缝储层中模拟地质力学效应

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Implementing stress-sensitivity in naturally fractured reservoir flow simulation can be achieved through the use of “multipliers” that serve to modify, for example, fracture network pore volume as a function of changing reservoir pressure and fracture network transmissibility as a function of changing pore volume. We have used parametric, stress-sensitive, discrete fracture network modeling, combined with a stiffness scaling rule as determined from hydromechanical laboratory testing of single natural fractures, to develop simple predictive relationships for estimating multiplier magnitudes. For a wide range of fracture network intensities and aperture size distributions we observe that, to first order, pore volume-and transmissibility-multipliers are surprisingly predictable from basic knowledge of supplementary in situ reservoir stress and geometric fracture properties information. Single-producer flow simulation box models are subsequently employed to illustrate the impact of varying multiplier magnitudes on incremental oil recovery, relative to an “incompressible fracture network” base case condition.
机译:通过使用用于改变储层压力和断裂网络传播的功能来改变例如裂缝网络孔体积的“乘法器”来实现自然断裂储存器流程模拟中的应力敏感性。 。我们使用了参数,应力敏感,离散的断裂网络建模,与单一自然骨折的流体机械实验室测试中确定的刚度缩放规则相结合,以开发用于估计乘数大小的简单预测关系。对于广泛的裂缝网络强度和光圈尺寸分布,我们观察到,到第一阶,孔体积和传输 - 乘法器令人惊讶地预测辅助储层应力和几何裂缝特性信息的基本知识。随后采用单生产者流动仿真盒式模型来说明相对于“不可压缩的裂缝网络”基本情况条件,改变乘数大小对增量溢油的影响。

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