应力敏感储层井非线性产能指标的孔弹性解析解

Wei Zhang, A. Mehrabian
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引用次数: 0

摘要

储层枯竭会引起岩石应力状态的实质性变化。孔隙流体压力与岩石应力的耦合作用会改变储层渗透率,进而影响生产井的产能指标。提出了稳态渗流条件下油藏产能指数随降的非线性解析解。利用Biot的孔隙弹性理论推导了储层岩石孔隙度和渗透率的衰竭变化。将半无限弹性介质中著名的Mindlin应变核解作为格林函数,对储层岩石的衰竭体积进行积分,得到应力和体积应变的三维分布。流体输运方程通过应力相关渗透率系数与固体力学解非线性耦合。采用微扰技术对所描述的非线性进行数学处理,求解稳态下孔隙流体流动与岩石应力的耦合方程。所得的生产率指数解析近似与数值解吻合较好,验证了模型的正确性和鲁棒性。结果表明并证实了油井产能指数与压降幅度以及储层岩石的孔隙弹性本构参数的相关性,其中对泄油体积模量的敏感性最高,其次是储层深度和固粒模量。孔隙流体模量和泊松比对PI的敏感性最低。由此得出的产能指数是与降相关的,这与传统的仅流分析得出的产能指数估算值有很大不同。所提出的有关非线性生产率指标的估计可供实际工程人员使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poroelastic Analytical Solution for the Nonlinear Productivity Index of Wells in Stress-Sensitive Reservoir Rocks
Reservoir depletion can induce substantial changes in the stress state of the rock. The coupled interaction between the pore fluid pressure and rock stress will then alter the reservoir permeability, which in turn reversely affects the productivity index of the production well. A new nonlinear analytical solution is developed for the drawdown-dependent productivity index of reservoirs under steady-state flow. Biot's theory of poroelasticity is used to derive the depletion-induced changes in the reservoir rock porosity and permeability. The well-known Mindlin's solution for a Nucleus of Strain in a semi-infinite elastic medium is applied as Green's function and integrated over the depleted volume of reservoir rock to obtain the 3D distribution of stress and volumetric strain distributions. The fluid transport equation is nonlinearly coupled to the solid mechanics solution via the stress-dependent permeability coefficients. A perturbation technique is applied to mathematically treat the described nonlinearity to solve for the coupled equations of pore fluid flow and rock stress under steady-state flow. The good match between the obtained analytical approximations for productivity index and the numerical solutions verifies the correctness and robustness of the proposed model. Results indicate and confirm the expected strong dependency of the well productivity index to the drawdown magnitude as well as the poroelastic constitutive parameters of the reservoir rock, with the highest sensitivity to drained bulk modulus, followed by the reservoir depth and solid-grain modulus. The lowest PI sensitivity is to the pore fluid modulus and Poisson's ratio. The resulting productivity index is found out to be drawdown-dependent, which can render values substantially different than the productivity index estimate from the conventional flow-only analysis. The presented estimates for the related nonlinear productivity index can be readily used by the practicing engineers.
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