Geophysical Engineering Branch, Technology Research Istitute Co.,Lld.,Jincheng Anthracite Mining Group Mine
Safety Technology Branch of China Coal Research Institute State Key Laboratory of Coal Mining and Clean
Uilization(China Coal Research Institute)

为了提高预报各种小型地质构造的准确度,在沁水煤田南部煤矿井下开展多种电法、震波法和两种方法组合的地球物理勘探试验研究,以某矿的一次成功实践为例,介绍了综合物探的实施过程和解释方法。大量实践研究结果表明:对物探信息的合理解释需建立在对地质采矿资料和地层物性特点分析的基础上;单一电法或震波法预报的准确度偏低。井下探测隐伏小型陷落柱,采用瞬变电磁法和矿井震波超前探测组合技术,可以有效地避免对物探资料的多解性,提高准确度;无水陷落柱在瞬变电磁法视电阻率拟断面图中一般表现为近似环形,阻值高于周围正常岩体而陷落柱在矿井震波超前探测深度偏移剖面中有较明显的反映,位置误差较小。

In order to improve the prediction accuracy of various small geological structures, an experiment study on the geophysical exploration with the electrical met hod,seismic wave method and the combined method was conducted in the underground mine at the south part of Qinshui Coalfield. Based on one successful practices of a mine as a case,the paper introduced the implementation process and the explanation method of the comprehensive geophysical exploration. The great practice and study r. esults showed that the rational explanation of the geophysical exploration information should be based on the analysis on the geological mining information and strata phys ical property features. The prediction accuracy of the single electric method and the seismic wave method was low. As for the detection of the hidden small sinkhole,the mi ne transient electromagnetic method and mine seismic wave pilot prediction combined technology applied could effectively avoid the multi explanation of the geophysical e xploration information and improve the detection accuracy. In the quasi cross section image of the apparent resistivity from the transient electromagnetic method,the waterl ess sinkhole would be somewhat similar to an annular and the resistance value of the waterless sinkhole would be higher than the normal rock mass near by. In the depth migration cross section image of the mine seismic wave pilot detection,the sinkhole would have obvious reflection and location error would be less small.

煤炭科学技术研究院科技发展基金资助项目(2014JC07)；中国煤炭科工集团基金资助项目(2014QN013)；