王凤刚,李文成.MT方法在冀东迁安铁矿区深部找矿中的异常识别[J].地质找矿论丛,2013,28(4):604-612
MT方法在冀东迁安铁矿区深部找矿中的异常识别
Application of MT method to anomly recognition during deep iron ore prospecting in Qian’an iron ore mining district in the east Hebei province
投稿时间:2013-05-14  
DOI:10.6053/j.issn.1001-1412.2013.04.017
中文关键词:  变质铁矿  磁性特征  电性特征  大地电磁测深  异常识别
英文关键词:metamorphosed iron ore  magnetic property  electric property6  magnetotelluric sounding  anomaly  identification
基金项目:
作者单位
王凤刚 首钢地质勘查院地质研究所, 北京 100144 
李文成 首钢地质勘查院地质研究所, 北京 100144 
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中文摘要:
      文章叙述了通过MT方法在已知矿体上的剖面试验,结合钻探验证的3个钻孔的见矿情况,以及电偶极子人工场源对观测数据影响的对比、分析,指出依据航磁异常布设、采集的大地电磁剖面测深数据,尽管测点位于生产矿区,数据受到较严重的人文噪声干扰,且其部分频段异常形态与近区特征非常相似,实际上应为数据反演过程中所用软件未曾考虑铁矿石磁导率所致,而非近区效应;当一维视电阻率和相位曲线自几千赫兹以上即出现类似近区特征,二维反演剖面中的假象视电阻率异常高达几千至几万欧姆米时,应为有较强磁性的岩石和磁铁矿的反映;具有一定磁性的岩石和磁铁石英岩(包括磁铁石英辉石岩)在假象视电阻率异常强度、异常梯度变化上具有不同特征,可结合岩、矿石的电性、磁性特征予以识别。
英文摘要:
      Based on test of MT method along profile over the known iron ore body, results of three drill holes which intersect ore, and comparison and analysis of influence of electric dipole artificial field source on observation data it is pointed out that although the measurement points are laid out in the working area and data collected are seriously disturbed by human noise the anomaly morphology at some frequency bands of the earth electromagnetic profile sounding data collected on basis of the aeromagnetic anomaly is similar to that of the proximal-area. The phenomenon is resulted from not considering magnetic permeability of the iron ore during data procession with inversion software rather than the proximal-area effect. Feature of the proximal-area at over several thousands of Hertz at 1-demension apparent resistivity and phase curves and several thousand -tens of thousands of ohms of illusion abnormality at 2-demension inversion profile should be the reflection of stronger magnetic rocks and magnetite quartzite. Some magnetic rocks and magnetite quartzite (including magnetite-quartz pyroxenite ) are different in illusion apparent resistivity anomaly intensity and anomaly gradient and can be identified according to electric and magnetic properties of the ores and rocks.
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