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Mechanical rock properties prediction: Deriving rock strength and compressibility from petrophysical properties

机译:机械岩石特性预测:从岩石物理特性推导岩石强度和可压缩性

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A database of core-derived mechanical properties measurements has been used to develop new empirical correlations relating rock strength and compressibility to associated petrographic and petrophysical data. Automated fitting procedures translate these empirical observations into predictive algorithms for estimating mechanical properties from geophysical wireline logs. The database comprises ~600 triaxial compressive strength tests of sandstone-to-shale lithotypes and ~275 uniaxial and hydrostatic compaction tests of siliciclastic reservoir rocks (unconsolidated sands to tight gas sandstones). New predictive algorithms derive: shear strength from lithotype (arenite,wacke or shale) porosity and normal stress magnitude; Mohr-Coulomb cohesion and internal friction angle from porosity and total clay weight fraction; pore volume compressibility at initial reservoir stress conditions from elastic moduli. Observed trends in material properties defining the Cam clay elastoplastic constitutive model offer some constraints for approximating the onset of pore collapse and the evolution of rock compressibility with fluid pressure reduction under uniaxial strain boundary conditions.
机译:取自岩心的机械性能测量结果的数据库已用于开发将岩石强度和可压缩性与相关岩相和岩石物理数据相关联的新的经验相关性。自动化的拟合程序将这些经验观察结果转化为预测算法,以根据地球物理电缆测井曲线估算机械性能。该数据库包含〜600个砂岩-页岩岩性抗压强度试验和〜275个硅质碎屑岩储集岩(未固结砂岩到致密气砂岩)单轴和静水压实试验。新的预测算法得出:岩性(亚砷酸盐,瓦克或页岩)孔隙度和法向应力大小的剪切强度;由孔隙率和粘土总重量分数得出的摩尔-库仑内聚力和内摩擦角;弹性模量在初始储层应力条件下的孔隙体积可压缩性。观察到的定义Cam黏土弹塑性本构模型的材料特性趋势为在单轴应变边界条件下,随着流体压力的降低,近似于孔隙塌陷和岩石可压缩性的演化提供了一些约束。

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