Collapse column prediction model based on random forest algorithm

Abstract

In recent years, with the frequent occurrence of coal mine safety accidents, the fine interpretation of the geological structure inside the coal seam has become more and more important. Collapse column, as a common geological anomaly in the process of coal mining, has caused serious damage to the continuity of coal seam and brought huge hidden danger to the safety of coal mine production and personnel. In this paper, based on the random forest algorithm, several seismic attributes obtained by 3d seismic exploration technology are analyzed jointly, and the location of collapse column is successfully predicted, which provides a reliable means for predicting collapse column.