首页> 外文会议>SPE Low Perm Symposium >Simultaneous Estimation of intrinsic Permeability, Effective Porosity, PoreVoiume Compressibility, and Klinkenberg-Slip Factor of Ultra-Tight Rock Samples Based on Laboratory Pressure-Step-Decay Method
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Simultaneous Estimation of intrinsic Permeability, Effective Porosity, PoreVoiume Compressibility, and Klinkenberg-Slip Factor of Ultra-Tight Rock Samples Based on Laboratory Pressure-Step-Decay Method

机译:基于实验室压力 - 梯度衰减方法,同时估计内在渗透性,有效孔隙,磷酸钠压缩性和超紧岩样品的klinkenberg滑移系数

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Conventional laboratory characterization of ultra-tight reservoir rock samples involves separate laboratory measurements on different core plugs or on crushed rock samples. Heterogeneity and anisotropy of ultra-tight reservoir samples adversely influence the laboratory correlation among various measured and estimated petrophysical properties. We apply an inversion algorithm to simultaneously estimate the intrinsic permeability, effective porosity at ambient condition, pore-volume compressibility, and Klinkenberg-slip factor of an ultra-tight pyrophyllite sample from a single laboratory-based pressure-step-decay measurement. In doing so, we circumvent the effects of heterogeneity and account for the pore-pressure dependency of apparent permeability and effective porosity. Moreover, the time and resource requirements are drastically reduced in comparison to those required when performing multiple experiments that separately estimate the aforementioned petrophysical properties. The inversion algorithm is valid for nitrogen injection pressure in the range of 50 to 500 psi. The algorithm assumes ideal-gas behavior of the injected nitrogen, ID isothermal laminar gas flow, homogeneity of the core, pressure-independent gas viscosity, inverse-pressure dependence of the apparent permeability, pressure-independent Klinkenberg-slip factor, non-negligible pore-volume compressibility, pressure-dependent effective porosity, negligible inertial effects, negligibly small pressure gradients, and time-invariant confining pressure.
机译:超紧储层岩石样本的常规实验室表征涉及不同核心塞或碎石样品上的单独实验室测量。超紧储层样品的异质性和各向异性对各种测量和估计的岩石物理性质之间的实验室相关性产生了不利影响。我们应用倒置算法以同时估计来自基于单一实验室的压力步进衰减测量的超紧的纤维素样品的环境条件,孔隙体积压缩性和Klinkenberg滑移系数的内在渗透性,有效孔隙率。在这样做时,我们规避异质性的影响,并考虑表观渗透性和有效孔隙率的孔隙压力依赖性。此外,与在进行分别估计上述岩石物理性质的多个实验时所需的那些,时间和资源要求随着所需的时间和资源要求。反转算法对于氮气注射压力的含量为50至500psi。该算法假设注入的氮气的理想气体行为,ID等温层流气体流动,芯的均匀性,无依赖性气体粘度,表观渗透性的逆压依赖性,压力无关的Klinkenberg滑动因子,不可忽略不可忽略的孔隙-Volume可压缩性,压力依赖性有效孔隙率,可忽略不计的惯性效应,可忽略的小压力梯度,以及时间不变的限制压力。

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