Coupled Gas–Liquid Seepage Law and Transition Characteristics in Coal Reservoirs Under Mining-Induced Stress
摘要
The sudden excitation of gas–liquid 2-phase seepage in coal–rock masses under mining-induced disturbance stress can easily lead to the co-eruption of gas–liquid coupled fluids within a reservoir, posing significant threats to production safety. To investigate this phenomenon, this study established a triaxial stress experimental system for coupled seepage of gas–liquid 2-phase seepage, taking Shaqu No.1 Coal Mine as the research subject. Through theoretical analysis and physical experiments, we systematically investigated the seepage patterns of gas–liquid 2-phase seepage under coupled pressures, analyzed the interaction mechanisms between 2-phase seepage and mining-induced fracture propagation and revealed the transition characteristics of gas–liquid coupled fluids. The results demonstrate that both gas permeability–stress curves and liquid water seepage rate–stress curves under different coupled fluid pressures exhibit consistent V-shaped evolutionary law. The seepage process of 2-phase seepage can be divided into three distinct stages: gas adsorption stage (stage I), water–gas co-seepage stage (stage II), and water–gas transition eruption stage (stage III). A transition threshold is proposed to characterize the transformation law where the gas permeability and liquid water seepage rate under coupled fluid pressures shift from linear to exponential variation with stress changes. Under transition conditions, higher coupled fluid pressures intensify the water-lock effect on gas–water 2-phase seepage. When coal samples reached critical strength thresholds, the strain values under 0.4, 0.8, and 1.2 MPa coupled fluid pressures measured 3.633%, 2.792%, and 2.658%, respectively, indicating that, as fluid pressure increases, a smaller deformation in a coal body may lead to the occurrence of composite disasters. Based on the transition characteristics of gas–water 2-phase seepage under coupled pressures, we established a coupled fluid seepage model that identifies dominant factors influencing permeability characteristics during different seepage stages. This model enables timely prediction of gas–liquid coupled fluid disasters in coal–rock masses.