The comprehension of the mechanisms governing spontaneous
water
imbibition in gas–water systems plays a significant role in
the operation of hydraulic fracturing and the development of coalbed
methane (CBM). In this study, nuclear magnetic resonance (NMR) techniques
were used to investigate the pore structure and fluid behavior of
different rank coal samples during spontaneous imbibition. Analyses
were conducted on the 1D NMR T
2 spectrum,
2D NMR T
1–T
2 spectrum, and layer division T
2 spectra to achieve accurate and detailed information about the internal
pore structure of coal and the characteristics of fluid transport
during spontaneous imbibition. Low-rank coal exhibits good pore connectivity
and favorable pore sorting characteristics, indicating favorable reservoir
conditions. High-rank coal has larger pore spaces and highly developed
micropores, which are highly beneficial for gas adsorption. However,
its poor pore sorting characteristics and connectivity limit the migration
and diffusion of fluids within the reservoir. The imbibition capacity
follows a specific order of contribution, with small pores (10–50
nm) having the most significant role, followed by micropores (2–10
nm), ultramicropores (r < 2 nm), mesopores (50–1000
nm), macropores (1000–10,000 nm), and microfractures (r ≥ 10,000 nm). Low-rank coal stands out due to the
restricted development of ultramicropores and small pores, leading
to a different contribution of imbibition capacity compared to other
samples, where macropores and microfractures dominate over all pore
types. The coal reservoirs with favorable pore sorting characteristics
and pore connectivity tend to exhibit a tendency toward rapid saturation
and attainment of a prompt stable state during the hydraulic fracturing
process. Finally, the mechanism of the late retreat effect of imbibition
and the laws governing different coal ranks, pore structures, and
fluid transport were discussed. This study offers comprehensive analyses
of the mechanism of coal spontaneous imbibition and the characteristic
laws of fluid seepage, providing insights into the optimization of
CBM recovery and reservoir management.