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Assessing the impact of pore‐fracture structures on permeability sensitivity in tectonic coal using computerized tomography scanning.
- Source :
-
Geophysical Prospecting . Sep2024, Vol. 72 Issue 7, p2772-2783. 12p. - Publication Year :
- 2024
-
Abstract
- The heterogeneity in permeability of coal reservoirs is primarily attributed to the considerable variation in the morphologies and structures of microscopic pore‐fractures, shaped by complex geological processes. This study emphasizes the necessity of understanding the impact and governance of these morphological and structural variations in pore‐fractures across different types of coal bodies on their permeability. Utilizing computerized tomography scanning and three‐dimensional imaging, we examined coal samples from the Datong coalfield in the southeastern Qinshui Basin, Shanxi Province, to characterize the pore‐fracture morphologies and structures distinct to various coal‐body types based on tomographic data. This introduces a methodology for assessing the influence of microscopic pore‐fracture parameters, such as porosity, specific surface area, tortuosity and fractal dimension, on permeability sensitivity. This is achieved through the application of the modified Kozeny–Carman equation and a fractal permeability model. Findings indicate a predominance of slab fractures in raw coal, whereas fragmented coal under weak brittle deformation exhibits small, isolated pore‐fractures with minimal diameter and volume and poor connectivity. In contrast, granular coal subjected to strong brittle deformation features extensive clusters of large pore‐fractures with significant diameter and volume, enhancing connectivity. Moreover, permeability predictions are refined by integrating the modified Kozeny–Carman equation with tomographic data, offering a more precise understanding of the permeability across different coal bodies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00168025
- Volume :
- 72
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Geophysical Prospecting
- Publication Type :
- Academic Journal
- Accession number :
- 179239175
- Full Text :
- https://doi.org/10.1111/1365-2478.13551