Permeability determines the exploration and development efficiency of the oil and gas field, while the pore structure directly affects the permeability of sandstones. Therefore, in the current study, the pore structure and permeability of sandstones were quantitatively analyzed from macro and micro perspectives. With SEM images at different magnifications, pore size distributions (PSD) were obtained, and results were compared with values from the mercury intrusion method. Based on fractal theory, relationships between fractal dimension, magnifications, and porosity were analyzed, they showed apparent regularity. According to the results of PSD, permeability was further studied, while predicted values were more extensive than experiment results. With multislice CT images, the pore structure was obtained from the three-dimensional (3D) reconstruction. The connectivity of pores was discussed. In addition, an improved permeability estimation method based on multiple binary images was proposed, the permeability of A1 and A2 are 1.97 fm² and 1.94 fm² respectively, which are close to the experimental result (1.48 fm² at the confining pressure of 1 MPa). Meanwhile, it can also eliminate the dispersion of the calculation based on the two-dimensional SEM image.

渗透率决定了油气田的勘探开发效率，而孔隙结构直接影响着砂岩的渗透率。因此，在目前的研究中，从宏观和微观的角度对砂岩的孔隙结构和渗透率进行了定量分析。使用不同放大倍数的SEM图像，可以获得孔径分布（PSD），并将结果与​​水银压入法的值进行了比较。基于分形理论，分析了分形维数，放大倍数与孔隙率之间的关系，并显示出明显的规律性。根据PSD的结果，对渗透率进行了进一步的研究，而预测值比实验结果更广泛。对于多层CT图像，孔结构是从三维（3D）重建获得的。讨论了孔的连通性。此外，提出了一种改进的基于多个二值图像的渗透率估计方法，A1和A2的渗透率均为1.97 fm分别为²和1.94 fm ²，这与实验结果接近（ 在1 MPa的围压下为1.48 fm ²）。同时，还可以消除基于二维SEM图像的计算偏差。