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Intelligent identification of gas anomalous area by electro-magnetic joint exploration technology

机译:电磁联合勘探技术智能识别瓦斯异常区

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摘要

For intelligent and accurate identification of the gas anomalous area, two geophysical exploration methods, namely, the direct current (DC) method and the transient electromagnetic method, were adopted for advance detection of the underground roadway before the joint inversion of the detection data to obtain the fusion image of apparent resistivity. Based on the high-resistivity area in the image, the range of 13a??65a??m ahead of the driving face is the gas anomalous area. According to the test results of gas prediction indexes q and ??h 2, there is an area with high prediction values in front of the roadway, which is consistent with that determined by geophysical exploration. From the analysis of the thickness of exposed coal, there is an area with large coal thickness ahead of the roadway where there is an increase in gas content. The electrical characteristics of the coal are changed in the area, contributing to the anomalous resistivity, which keeps in consistency with the results of geophysical exploration. Therefore, the electro-magnetic joint exploration technology can realize the intelligent identification of gas anomalous areas, which is of great significance for the efficient and accurate detection of gas anomalous area in the coal seam.
机译:为了智能,准确地识别天然气异常区,在联合检测数据反演之前,采用了两种地球物理勘探方法,即直流(DC)法和瞬变电磁法对地下巷道进行了提前探测。视电阻率的融合图像。根据图像中的高电阻率区域,驱动面前方13a ?? 65a ?? m的范围是气体异常区域。根据瓦斯预测指标q和Δhh2的测试结果,在巷道前方存在一个预测值较高的区域,该区域与通过地球物理勘探确定的区域一致。通过对裸露煤层厚度的分析,在巷道前方存在一个煤层厚度较大的区域,其中气体含量会增加。该地区煤的电学特性发生变化,导致电阻率异常,这与地球物理勘探的结果保持一致。因此,电磁联合勘探技术可以实现瓦斯异常区域的智能识别,对于有效,准确地探测煤层瓦斯异常区域具有重要意义。

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