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 of trace element abundance in different coal seams, taking the main recoverable 8,6-2 and 4-2 coal seams in the lower part of B group of Guqiao Mine as an example, under the condition that tectonic development is difficult to be identified by conventional means, In order to meet the production requirements, coal seam thickness M was added and two parameters of comprehensive index K were highlighted to correct the original discriminant function, The re-judgment rate was raised to 97.4%; and the corrected discriminant function was used to accurately determine the coal seam vestige after the fault was dislocated by faults.