Predicting coal mining faults using combined rock relationships

详细信息    查看全文

• 作者：Hong-quan SUN ; Si-yuan BAO ; Lin LI ; Tai-ping LIAO
• 关键词：geostatistics ; discriminant analyses ; terrain combination ; mine fault prediction ; isoline map of probability
• 刊名：Mining Science and Technology (China)
• 出版年：2009
• 出版时间：November 2009
• 年：2009
• 卷：19
• 期：6
• 页码：745-749
• 全文大小：369 K

文摘

By studying different compressive strengths and changes in the characteristics of rocks, five variables were selected to predict faults in coal mines. Drillholes in the mined area were divided into two populations, i.e., drillholes containing faults and drillholes without faults. Discriminant functions were established from the values of the five variables using Fisher's approach. Drillholes in the non-mined areas were allocated to one of the two populations by using discriminant functions. The terranes of each drillhole were divided into 10 sections, above and below a minable coal seam. Each section has 10 layers of rocks. The population to which each drillhole in a section belongs is sorted out and the probability of each drillhole with faults obtained, i.e., a contour map of predicting the probability of faults in coal mining is shown. A comparison with the real distribution of faults shows that the precision of accurately predicting faults is greater than 70 per cent.