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Research Progress of Microscopic Pore–Throat Classification and Grading Evaluation of Shale Reservoirs: A Minireview
- Source :
- Energy & Fuels; May 2022, Vol. 36 Issue: 9 p4677-4690, 14p
- Publication Year :
- 2022
-
Abstract
- The grading evaluation of shales helps in understanding the shale reservoir formation and sweet-spot screening of physical properties. Reservoir formation of shale is closely related to the size, distribution, and connectivity of shale pore–throats. Therefore, characterization and classification of microscopic pore–throats are the basis for shale reservoir grading. However, previous microscopic pore–throat classification schemes for materials science are unsuitable for shales with strong heterogeneity. In recent years, the author’s team has proposed a new classification method for microscopic pore–throats of shale reservoirs based on the comprehensive characterization of numerous shales with varied maturities in different basins. Results show that the microscopic pore–throats for all shales can be divided into micropores, small pores, mesopores, and macropores. The component, size, and distribution of microscopic pore–throats in shales in different basins differ due to the differences in mineral composition and diagenetic evolution of shales caused by varying depositional environments and burial histories. Correspondingly, the demarcation points of different types of pore–throats are different. After clustering statistical analysis of different types of microscopic pore–throats, shales can be divided into grade I, II, III, and IV reservoirs, regarded as good, medium, poor, and nonshale reservoirs, respectively. Grading evaluation criteria for shale reservoirs were then established. Further, a new technique for evaluating the reservoir flow zone index (FZI) and dividing flow units based on logging data was constructed using the relationship of permeability with porosity in the same hydraulic flow unit. The grading evaluation criteria can be applied to single wells, multiwells, and planes using logging data. The application in numerous shale oil and gas exploration areas in China shows that the established classification scheme can be applied to the grading evaluation and sweet-spot screening of shale reservoirs.
Details
- Language :
- English
- ISSN :
- 08870624 and 15205029
- Volume :
- 36
- Issue :
- 9
- Database :
- Supplemental Index
- Journal :
- Energy & Fuels
- Publication Type :
- Periodical
- Accession number :
- ejs59447149
- Full Text :
- https://doi.org/10.1021/acs.energyfuels.2c00431