Classification and quantification of pore shapes in sandstone reservoir rocks with 3-D X-ray micro-computed tomography

摘要: Abstract. Recent years have seen a growing interest in the characterization of pore morphologies reservoir rocks and how spatial organization traits affects macro behavior rock–fluid systems. With availability 3-D high-resolution imaging, such as x-ray micro-computed tomography (µ-CT), detailed quantification particle shapes has been facilitated by progress computer science. Here, we show irregular rock particles (pores) can be classified quantified based on binary images. The methodology requires measurement basic descriptors (length, width, thickness) shape classification that involves similarity artificial objects, which is main network detachments sample sizes. Two components were identified from analyzed volumes: networks residual ganglia. A watershed algorithm was applied to preserve morphology after separating networks, essential for characterization. results validated three sandstones (S1, S2, S3) distinct reservoirs, most found plate- cube-like, ranging 39.49 50.94 % 58.80 45.18 % when Feret caliper descriptor investigated 10003 voxel volume. Furthermore, this study generalizes practical way correlate specific shapes, rods, blades, cuboids, plates, cubes characterize asymmetric any material type with image analysis.