“Interbedded water in thin coal seams” is characterized by its high degree of concealment and complex hydraulic connections. However, due to the confined space of underground mine tunnels and severe electromagnetic interference from metal structures, traditional geophysical methods struggle to accurately delineate the boundaries of water accumulation, making this a major and challenging water hazard in coal mines. Taking the Qinhua Coal Mine in Xinjiang, China, as the engineering context, this paper investigates the detection of water accumulation in interbedded coal seams within goaf areas using the cross-hole resistivity method. It proposes a cross-hole resistivity tomography scanning approach characterized by “progressive depth penetration and layer-by-layer traversal,” and employs an inversion method based on inequality constraints to obtain relatively detailed and reliable imaging results. Through resistivity imaging analysis, low-resistivity water accumulation anomalies were successfully delineated, and water accumulation dead zones were identified. Based on the detection results, effective drainage was carried out beneath the water-filled zones. Subsequent follow-up surveys confirmed the disappearance of the low-resistivity anomalies, thereby validating the reliability and engineering practicality of the cross-hole resistivity tomography method for precisely detecting water body boundaries under complex geological conditions in coal seams.

Coal fire zones represent both severe geological hazards and viable sources of clean geothermal energy for coal-fired power plant integration. However, the precise delineation of their boundaries remains a critical scientific deficit, hindering high-resolution exploration in complex terrains. To address this, the ground-based Distributed Wide-Field Electromagnetic Method (DWFEM) was employed to investigate a surface coal mine in Xinjiang. Leveraging its high anti-interference capability and lateral resolution, DWFEM enables us to obtain high-quality data, and create the construction of a 3D geoelectrical model to characterize subsurface structures. The results demonstrate that DWFEM effectively identifies the morphology of coal fire zones, revealing a distinct NE-SW trending fracture network which has width serving as geothermal reservoirs. Compared with conventional geological data, DWFEM provides a significantly more detailed characterization and resolves internal structures undetectable by traditional surveys. This study confirms the efficacy of DWFEM in anti-interference, lateral resolution, providing essential technical support for safe mining and geothermal development.