Pore-Fractures of Coalbed Methane Reservoir Restricted by Coal Facies in Sangjiang-Muling Coal-Bearing Basins, Northeast China

Yuejian Lu, Dameng Liu, Yidong Cai, Qian Li and Qifeng Jia
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Yuejian Lu: School of Energy Resources, China University of Geosciences, Beijing 100083, China
Dameng Liu: School of Energy Resources, China University of Geosciences, Beijing 100083, China
Yidong Cai: School of Energy Resources, China University of Geosciences, Beijing 100083, China
Qian Li: School of Energy Resources, China University of Geosciences, Beijing 100083, China
Qifeng Jia: School of Energy Resources, China University of Geosciences, Beijing 100083, China

Energies, 2020, vol. 13, issue 5, 1-22

Abstract: The pore-fractures network plays a key role in coalbed methane (CBM) accumulation and production, while the impacts of coal facies on the pore-fractures network performance are still poorly understood. In this work, the research on the pore-fracture occurrence of 38 collected coals from Sangjiang-Muling coal-bearing basins with multiple techniques, including mercury intrusion porosimetry (MIP), micro-organic quantitative analysis, and optic microscopy, and its variation controlling of coal face were studied. The MIP curves of 38 selected coals, indicating pore structures, were subdivided into three typical types, including type I of predominant micropores, type ? of predominant micropores and macropores with good connectivity, and type ? of predominant micropores and macropores with poor connectivity. For coal facies, three various coal facies were distinguished, including lake shore coastal wet forest swamp, the upper delta plain wet forest swamp, tidal flat wet forest swamp using Q-cluster analysis and tissue preservation index–gelification index (TPI-GI), and wood index–groundwater influence index (WI-GWI). The results show a positive relationship between tissue preservation index (TPI), wood index (WI), and mesopores (10 2 nm–10 3 nm), and a negative relationship between TPI, WI, and macropores/fractures. In addition, groundwater level fluctuations can control the development of type C and D fractures, and the frequency of type C and D fractures show an ascending trend with increasing groundwater index (GWI), which may be caused by the mineral hydration of the coal. Finally, from the perspective of the pore-fractures occurrence in CBM reservoirs, the wet forest swamp of upper delta plain is considered to be the optimization areas for Sangjiang-Muling coal-bearing basins by a comparative study of various coal facies.

Keywords: pore-fracture network; coal facies; coalbed methane reservoir; Sangjiang-Muling basin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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