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Geomechanical Property Computation from Digital Rock Models and Comparison with Core Measurements

机译:数字岩体模型的地质力学属性计算与核心测量的比较

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Rock mechanical properties are critical to reduce drilling risk and maximize well and reservoir productivity. This paper present a methodology of predicting mechanical properties (Young’s modulus and Poisson’s ratio) from 3D rock models generated using laboratory measurements or downhole logging data. The 3D rock model provides the microstructure and boundary to simulate rock elastic properties. Mechanical properties are computed from rock models using the finite element method. Laboratory measurements were conducted on four Berea sandstone samples to determine the mechanical properties for comparison and other properties as input in rock modeling, such as bulk and grain density, porosity, mineralogy, and grain-size distributions. Numerical results from rock models generally match the core measurements of the corresponding samples. The methodology proposed in this study could potentially be applied downhole for predicting the mechanical property profile along the wellbore, as all input parameters to generate rock models can be derived from logging measurements.
机译:岩石力学性能对于减少钻井风险并最大化井和储层生产率至关重要。本文提出了一种从使用实验室测量或井下测井数据产生的3D岩石模型预测机械性能(杨氏模量和泊松比)的方法。 3D岩体模型提供了模拟岩弹性性能的微观结构和边界。使用有限元方法从岩石模型计算机械性能。实验室测量是在四个伯雷砂岩样品上进行的,以确定比较和其他性质的机械性能,如岩石建模的输入,如散装和晶粒密度,孔隙率,矿物学和晶粒尺寸分布。来自岩石模型的数值结果通常匹配相应样本的核心测量。本研究中提出的方法可能潜在地施加井下以沿着井筒预测机械性质谱,因为可以从测井测量导出生成岩石模型的所有输入参数。

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