基于非饱和多孔隙介质BISQ模型的储层参数反演

Biot流动和喷射流动是含流体多孔隙介质中流体流动的两种重要力学机制．文中基于同时包含这两种力学机制的非饱和多孔隙BISQ模型，利用小生境遗传算法实现了储层参数(孔隙度、渗透率、含流体饱和度等)的反演．结果表明，本文方法在储层参数的反演过程中目标函数收敛快、且具有较强的抗“噪声”干扰性能，当观测噪声ε≤5%时，储层参数的反演精度很高．最后，通过实测数据的反演应用验证了该方法处理储层参数反演问题的有效性和非饱和BISQ模型的准确性．

INVERSION OF RESERVOIR PARAMETERS BASED ON THE BISQ MODEL IN PARTIALLY SATURATED POROUS MEDIA

The Biot-flow mechanism and the squirt-flow mechanism are the two most important mechanisms of pore fluids in a fluid-saturated porous medium.Based on the BISQ model including the two mechanisms simultaneously,we perform the inversion of reservoir parameters (e.g.,porosity,permeability,and saturation) by using the Niche genetic algorithms (NGA).Numerical experiments indicate that during the process of reservoir parametric inversion the convergence of objective function is speedy,and our algorithms have the property of strongly protecting noises of observations.The results of reservoir parametric inversion are very precise while the errors of observation are less than 5%.Finally,applying to the practical inversion of experimental data proves that our algorithms are effective for the inverse problems of wave propagation in partially saturated reservoir media affected simultaneously by the Biot and squirt-flow mechanisms.