摘要
基于不同煤层微量元素丰度差异,以顾桥矿B组煤下部主要可采8、6-2、4-2煤层为例,解析了在构造发育、常规手段难以判明其层位的条件下,利用微量元素各指标测试值在SPSS中建立不同煤层判别函数,回判正确率达到81.6%;为满足生产要求,增选煤层厚度M、突出综合指标K 2个参数,对原判别函数加以修正,回判率提高至97.4%;并利用修正后的判别函数,准确判别了该矿经断层错动后煤层归属。
Based on the differences from abundance of trace elements between coal seams,this paper analyzes how to establish discriminant functions for different coal seams in SPSS with test results of trace elements,taking 8,6-2,4-2 coal seams in group B for example,which are the lower parts of primary mineable coal in Guqiao Mine,under the conditions of structural development,when it is difficult to judge coal seams ascription with conventional means,and the percent of ＂grouped＂ cases correctly classified is 81.6%; In order to meet production requirements,this paper adds two parameters,the seam thickness M and the prominent composite indicator K,to correct the original discriminant function,and the percent increases to 97.4%; At last,it accurately distinguishs the vesting of coal seams changed by fault movements in surface boreholes of Guqiao Mine.
出处
《煤炭技术》
CAS
北大核心
2014年第4期95-97,共3页
Coal Technology
关键词
煤层
微量元素
顾桥矿
判别函数
应用
coal seams
trace elements
guqiao mine
discriminant functions
application
