Study on outburst prediction sensitive index based on grey relevancy analysis method
Abstract：Baiyangling Coal Mine is the coal gas outburst mine,which main minable No.15 coal seam has coal and gas outburst risk.In order to improve accuracy and validity of outburst prediction during the course of coal drift excavation,sensitivity of gas desorption index of drill-cutting（Δh2 and K1） and drilling cuttings weight（S） were studied using grey relevancy analysis method according to measured data of outburst prediction index and coalbed gas content.Research results indicate that gas desorption index of drill-cutting（K1） can reflect outburst risk level of coal body in front of working face more well and truly,so K1 is outburst prediction sensitive index in Baiyangling Coal Mine,and its critical value is 0.30 mL/（g·min0.5）.
Keywords：grey relevancy analysisoutburst predictionsensitive indexcritical value
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 16-18 )