Indicative significance of gravity-magnetic wavelet multi-scale decomposition for deep mineral exploration: A case study of Chengchao iron deposit in southeastern Hubei Province
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摘要:目的
鄂东南是我国重要铁矿资源基地,程潮铁矿作为区内典型大型矽卡岩型铁矿,现有钻探工程已达标高−
1300 m且矿体尚未完全圈闭,深部及外围找矿潜力突出。重磁勘探是磁铁矿勘查的高效手段,但传统位场分离算法参数依赖性强、弱异常提取效果有限,如何精准挖掘重磁异常中的深部矿化信息,是该区深部找矿亟待解决的问题。方法以程潮铁矿区及外围为研究区,基于 GMS 重磁勘探软件,选用 DB4 小波基开展重磁数据小波多尺度分解,结合功率谱法计算各阶细节异常对应的场源似深度;从平面、剖面两个维度,系统剖析不同深度磁、重力细节异常的强度、规模、正负异常组合及梯度变化特征,并结合钻探、大地电磁、物性测试等资料,建立异常与已知地质体、矿体的对应关系。
结果研究表明,从重磁一阶至四阶细节异常,异常强度随场源似深度增大持续升高,四阶异常幅值达到峰值,对应场源似深度约
1570 m;五阶细节异常强度略有衰减,但异常分布规模进一步扩大。目前矿区工程控制的磁铁矿体主要赋存于一至三阶细节异常对应的浅−中部深度区间,四阶强异常对应深度暂无工程揭露,反映矿区深部存在显著的高磁性、高密度地质体响应。结论小波多尺度分解技术可有效剥离不同深度的重磁局部异常,实现多维度精细解析。深部验证钻孔及测井资料已在
1600 m以深位置揭露工业磁铁矿体,刷新矿区最大见矿深度,证实该方法能够有效指导老矿山深边部隐伏矿体探测、地质组构解译,可为同类矽卡岩型铁矿区深部找矿工作提供可靠的技术参考。Abstract:ObjectiveAs a key iron ore base in China, southeastern Hubei Province hosts numerous large and medium-sized skarn-type iron deposits. The Chengchao iron deposit, one of the most representative large skarn-type iron mines in this region, has been explored intensively by drilling projects. The deepest existing engineering control has reached an elevation of −
1300 m, and the ore body has not been fully delineated, indicating great exploration potential in its deep and peripheral areas. High-grade iron ore is a strategic mineral resource in China, and gravity and magnetic prospecting have become efficient geophysical techniques for magnetite exploration. Nevertheless, traditional potential field separation methods are highly dependent on manual parameter selection and have limited capability in extracting weak deep-seated anomaly signals. Therefore, it is urgent to develop an effective technical means to accurately identify deep mineralization information from gravity-magnetic anomaly data for deep mineral exploration in the study area.MethodsThis study took the Chengchao iron deposit area and its surroundings as the research object. Based on the GMS gravity-magnetic exploration software, the DB4 wavelet basis was adopted to conduct wavelet multi-scale decomposition on collected gravity and magnetic data. The power spectrum analysis method was further applied to quantitatively calculate the apparent source depths corresponding to each order of wavelet detail anomalies. From planar and profile perspectives, this study systematically analyzed the intensity, scale, positive-negative anomaly combination, and gradient characteristics of magnetic and gravity detail anomalies at different depths. Combined with physical property test data, drilling records, and magnetotelluric sounding results, this study established the spatial correlation between geophysical anomalies and known geological bodies as well as iron ore bodies.
ResultsThe research results showed that the intensity of the first- to fourth-order wavelet detail anomalies increased continuously with the growth of apparent source depth, and the fourth-order anomalies reached the maximum amplitude with a corresponding apparent source depth of approximately
1570 m. Although the intensity of the fifth-order detail anomalies decreased slightly, their distribution range expanded significantly. At present, the magnetite ore bodies controlled by existing engineering works are mainly distributed in the shallow and middle zones corresponding to the first- to third-order detail anomalies. The strong fourth-order anomalies, however, have not been verified by deep drilling, indicating significant geophysical responses of high-density and high-magnetic geological bodies in the deep part of the mining area.ConclusionThis study verifies that wavelet multi-scale decomposition can effectively separate local gravity-magnetic anomalies at different depths and realize multi-dimensional refined interpretation. A deep verification borehole and logging data have uncovered industrial magnetite ore at depths below
1600 m, setting a new record of the deepest ore occurrence in the mining area. The proposed integrated technical workflow proves reliable for detecting concealed ore bodies and interpreting deep geological structures in old mines. It can also provide a solid technical reference for deep exploration of similar skarn-type iron deposits worldwide. -
图 2 程潮铁矿床勘探线剖面图(据文献[48]改)
Figure 2. Profile of exploration line of Chengchao iron deposit
图 9 程潮铁矿区201线大地电磁法二维反演电阻率ρ剖面图(剖面测线201线位置见图1,下同)
Figure 9. 2D inversion resistivity profile of Chengchao iron deposit area along line 201 using magnetotelluric method
表 1 鄂城岩矿石物性参数统计
Table 1. Statistics of rock physical properties in Echeng area
主要岩性 密度/(g·cm−3) 磁化率
K/(10−5)剩余磁化强度
Jr/(10−3A·m−1)磁铁矿 3.72~4.11 9007 ~175180 5600 ~100000 含铜磁铁矿 4.09~4.65 赤铁矿 318~ 6336 318~ 3900 褐铁矿 159 50 黄铁矿 黑云母辉石闪长岩 2.83 蚀变闪长岩 2.81 石英闪长岩 2.62 4058 石英正长闪长岩 2.62 花岗闪长岩 2.58 闪长岩 2.51~2.72 3342 ~7799 100~600 花岗岩 2.58~2.63 弱磁~ 3183 弱磁~ 3300 花岗斑岩 2.64 1592 ~4775 大理岩 2.72~2.75 0~55 三叠系嘉陵江组灰岩 2.73 0~55 三叠系蒲圻组砂页岩 2.42~2.73 0~55 三叠系蒲圻组角页岩 2.65~2.71 1751 ~2706 260~380 侏罗系长石石英砂岩 2.55 0~55 侏罗系砂岩、砾岩 2.52~2.54 0~55 注:部分数据来源于杨龙彬等[4] -
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