TDIP responses that compared with the theoretical curves are the results of mathematical modelling. Physical modelling obtained the data from various parameters of target measurement. Forward modelling is done by developing a numerical workflow to generate theoretical curves. Mathematical modelling is done by solving the Laplace equation to obtain the IP responses. This study includes mathematical, forward, physical and inversion modelling. Modelling studies of Time Domain Induced Polarization (TDIP) performed to obtain the relationship between parameters responses to metallic mineral content. As a result, the proposed method is feasible for geological anomalies detection. The inversion modelling discovered that the inversion geo-electric parameter distribution agreed well with the actual model. The forward modelling explained the geological anomalies inside the coal seam, which were very sensitive to the response of the radiated electromagnetic field especially, for the water-bearing geological anomalies. Based on typical coal mine geological models, the forward modelling and inversion modelling have been performed, respectively. To this end, this paper proposes a new electromagnetic radiation solution based on the forward and inversion theory to detect geological anomalies in the coal seam. A challenging task using the active source electromagnetic survey technique is to detect geological anomalies, such as disaster water sources and geological structures. Hence, it is possible to use the electromagnetic radiation to predict geological disasters in coal mines. Before the rock mass explosion, electromagnetic energy will radiate outward during the deformation and rupture of the coal rocks. Geological hazard in deep underground mining.

Nonlinear inversion res2dinv