鲁晶津. 煤矿井下含/导水构造三维电阻率反演成像技术[J]. 煤炭学报, 2016, (3). DOI: 10.13225/j.cnki.jccs.2015.0493
引用本文: 鲁晶津. 煤矿井下含/导水构造三维电阻率反演成像技术[J]. 煤炭学报, 2016, (3). DOI: 10.13225/j.cnki.jccs.2015.0493
LU Jing-jin. 3D electrical resistivity inversion and imaging technology for coal mine water-containing / water-conductive structures[J]. Journal of China Coal Society, 2016, (3). DOI: 10.13225/j.cnki.jccs.2015.0493
Citation: LU Jing-jin. 3D electrical resistivity inversion and imaging technology for coal mine water-containing / water-conductive structures[J]. Journal of China Coal Society, 2016, (3). DOI: 10.13225/j.cnki.jccs.2015.0493

煤矿井下含/导水构造三维电阻率反演成像技术

3D electrical resistivity inversion and imaging technology for coal mine water-containing / water-conductive structures

  • 摘要: 为了实现煤矿井下含/导水构造的立体解释,预防和减少矿井水害的发生,开展了煤矿井下三维电阻率反演成像技术研究。应用全空间三维电阻率反演软件,建立含/导水构造模型并对其正演结果进行反演成像,对比分析了不同观测系统、数据采集密度、模型参数和噪音水平下的反演结果,并进行了复杂模型三维反演成像。结果表明,多巷道透视观测系统具有更高反演分辨率;当发射极距大于异常体尺寸而接收极距小于异常体尺寸时,可在较低数据采集密度下保持较高反演分辨率;反演所得电阻率值是模型尺寸、电阻率、埋深、水平位置及围岩电阻率等参数的综合反映;巷道空间影响等价约2%的噪声干扰,反演结果具有较强抗噪能力;可根据反演成像结果识别多个异常体并判断各异常立体展布范围,尽管尚难以准确圈定异常边界,但可采用电阻率等值面进行异常提取。

     

    Abstract: In order to realize 3D interpretation for water-containing or water-conductive structures in coal mine,further to prevent and reduce the occurrence of mine water hazards,a research on a 3D electrical resistivity inversion and ima- ging technology for coal mine was carried out. By using a whole space 3D resistivity inversion software to get inversion and imaging results for synthetic water-containing or water-conductive models,the inversion results for different survey systems,data sampling density,model parameters,and noise levels were compared and analyzed. A 3D inversion and imaging for a complex synthetic model was also conducted. Results show that a multi-tunnel perspective survey system achieves a higher inversion resolution. When transmitting electrode distance is larger than,and receiving electrode dis- tance is smaller than anomaly size,high inversion resolution could be maintained under low data sampling density. Re- sistivity obtained by inversion is a combination of model’ s size,resistivity,depth,horizontal position,and background resistivity and so on. The influence of tunnel space is equal to about 2% random noise,and inversion results possess a good ability of noise resistance. According to inversion and imaging results,multi-bodies could be identified separately, and the 3D distribution range of the anomaly could also be determined. Although it is hard to precisely define the a- nomaly boundary,resistivity iso-surface could be used to extract the anomaly.

     

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