Spectral moment method to inverse coal seam thickness by seismic data;

Research on coal seam thickness detection by natural Gamma ray in shearer horizon control;

Application of wave impedance inversion in coal seam thickness prediction

The main geological factors which influenced top coal caving and broken characteristic contain:the strength of coal,the mining depth of coal seams,the features of coal seams with middle band,the thickness of coal seam,the fissures of coal,the roof features of coal-bed,etc.

The BP artificial neural network regression model for seismic attribute and coal seam thickness is established, which has been applied in predicting the thickness of coal seam 13-1 in Xieqiao coal mining area.

According to drilling data and revealed underground geological condition of Dingfengshan mine field,Fujian Province,as well as a study on structural and coal seam features of the mine field,the paper analyzed the main geological factor to affect the changing of coal thickness.

At last,some problems about coal exploration are discussed,including coal thickness prediction,improving vertical resolutio.

In view of mairf technical difficulty which of surface condition complex, big coal inclination angle, coal thickness and the spacing of big change, discussed the technical measure which in the actual gathering process uses, passes through to the result reduction and the explanation, obtains the material quite is satisfied, conforms to geologic structure rule.

According to the principle of the “spherical shell destabilization” theory,the expansion energy of initial relased gas and the thickness of soft coal are defined as the test indexes to predict the dynamic phenomena when coal is uncovered in a cross cut.