Multi-scaling Properties of 2D Reservoir Micro-pore Heterogeneity Based on Digital Casting Thin-Section Images

• Published in: Natural resources research (New York, N.Y.) Vol. 30; no. 1; pp. 359 - 370
• Main Authors: Zhou, Lihong, Qin, Mutian, Xiao, Dunqing, Leng, Chongbiao, Li, Hongjun, Xie, Shuyun, Carranza, E. J. M., Zhang, Jinning
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2021; Springer Nature B.V
• Subjects: Algorithms; Chemistry and Earth Sciences; Cluster analysis; Computer Science; Digital imaging; Earth and Environmental Science; Earth Sciences; Fossil Fuels (incl. Carbon Capture); Fractal analysis; Fractals; Geography; Heterogeneity; Igneous rocks; Image analysis; Image processing; Mathematical Modeling and Industrial Mathematics; Method of moments; Microstructure; Mineral Resources; Original Paper; Parameters; Physics; Reservoirs; Scanning electron microscopy; Sedimentary rocks; Spatial analysis; Statistics for Engineering; Sustainable Development; Volcanic activity; Volcanoes; Heterogeneity; Dagang area; Pore image analysis; Igneous rock; Multifractal

In recent years, in order to study the micro-pore structures of reservoirs, to define the types of reservoir space and to classify and evaluate reservoir capabilities, the technology of numerical image analysis has been concerned widely with the study of pore heterogeneity with fractals and multifra...