An upscaling approach to predict mine water inflow from roof sandstone aquifers

• Published in: Journal of hydrology (Amsterdam) 2022-09, Vol.612, p.128314, Article 128314
• Main Authors: Xu, Lulu, Cai, Meifeng, Dong, Shuning, Yin, Shangxian, Xiao, Ting, Dai, Zhenxue, Wang, Yanwei, Reza Soltanian, Mohamad
• Format: Article
• Language: English
• Subjects: Equivalent hydraulic conductivity; Fractal theory; Fractures; Pore structure; Roof water inflow; Upscaling
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2022.128314

•An upscaling framework is proposed to predict roof water inflow.•The framework includes multiscale analyses and derivation of upscaling formulas.•Statistical and inversion models of effective fracture aperture are established. Underground coal mining suffers from groundwater intrusion from the aquifers overlying coal seams. Therefore, developing methods for the accurate prediction of roof water inflow is urgently needed to design a safe drainage system. In this study, we developed a novel upscaling framework to predict roof water inflow by integrating the multiscale hydrogeological properties of roof aquifers. In this framework, we imaged rock samples via scanning electron microscopy and performed pore-scale analysis based on fractal theory. A fractal model of permeability was introduced to calculate the seepage capacity of the pore structure in the samples. The effect of fractures was further evaluated via core-scale pneumatic experiments. Subsequently, we derived an upscaling formula of hydraulic conductivity used for predicting roof water inflow at the field scale. The proposed upscaling approach was demonstrated using data from a coal mine in Northern China. The results indicate that the actual water inflow (21 m3/h) is within the predicted range of our upscaling framework (9.32–92.78 m3/h), and the initial line fracture rate dx is distributed between 0.02 % and 0.03 %. Therefore, these findings can guide the development of methods for considering micropores and fractures simultaneously and scaling them up to the field scale for effective prediction of water inflow from roof aquifers.