Effect of Low-Frequency Pulsating Water Injection Parameters on Coal Permeability: Quantitative Characterization Experiments and a Field Case Study
Huijing Fang, Ang Xu, Hai Ding, Xiaozhi Zhou, Zhiyi Zhao, Xue ZhangAbstract
Efficient stimulation of coal reservoirs is crucial for enhancing coalbed methane (CBM) well productivity. As an emerging unconventional stimulation technology, low-frequency pulsating water injection (LF-PWI) has attracted widespread attention for its ability to transform the pore-fracture system of coal reservoirs and its potential for engineering application. In this study, LF-PWI experiments are conducted using NMR, CT, and a triaxial apparatus to investigate the influence of LF-PWI parameters on pore-fracture properties of coal samples. The dynamic gray relational analysis (DGRA) method is employed to quantitatively evaluate the correlations of pore-fracture properties with porosity and permeability, respectively. Finally, the stimulation mechanism of productivity is elucidated and validated through a case study. The results demonstrate that LF-PWI can reduce the coal elastic modulus by 35.15%. The volume and connectivity of micropores and mesopores fluctuate, while macropores with diameters of 200–300 μm increase significantly, forming dominant flow pathways (>500 μm). Permeability continuously increases due to macropore development (k/k0 = 4.07). Porosity initially shows a rapid rise driven by macropore expansion (φ/φ0 peaks near 1.05); it then declines (by up to 9.95%) and gradually recovers toward unity as the micropores vary. Increasing the pressure amplitude simultaneously enhances the deterioration of mechanical properties, the fluctuation of porosity, and the improvement of permeability. A segmented control strategy employing high–medium–high pressure amplitude can help balance the pore-fracture network, preserve the gas source, and expand gas seepage pathways. Field application in the DFZ-1 well confirmed that LF-PWI mitigates coal fines flowback and increases cumulative gas production by 17.07%. This study provides a theoretical basis for employing LF-PWI to improve CBM well productivity.