In China, coal is considered as an essential support for energy generation, so large-scale coal mining is required to fulfil the energy needs. This ultimately results in series of ecological and environmental disasters in mining areas. For the mitigation of problems caused by high intensity coal mining backfilling of goafs is considered as most suitable method to provide a way to protect the environment in mining areas. Evaluation of materials that could be most effective in backfilling the goafs is the focus of recent studies, determining the physico-mechanical properties of the material can give a precise solution. Rock physics provide a way to link surface measured elastic properties (seismic velocities) of the material with the intrinsic rock properties like porosity, permeability, and mineralogy. However, seismic velocities in subsurface media may vary with time due to varying subsurface stress conditions. Computing this variation in seismic velocities and their quantitative analysis will helps us to monitor the physico-mechanical properties of the material and ultimately the true subsurface conditions. Numerical simulation provides a promising way to examine the link between physical properties of medium (rock and fluid composition) and variation in medium seismic velocities. In current study a rock physics model will be applied to quantify the effects of variation in medium properties on compressional and shear wave velocities, and their ratio (Vp/Vs) using numerical simulations. The numerical modeling will be validated by taking the experimental observations for physical properties of the backfill material. Which can be further extended for multiple material having different chemical compositions.



 Ultimately this study will enable us to predict the effectiveness and suitability of the material for backfilling, through analyzing the stress conditions along with the chemical composition of the material.