G'/> 3D characteristic analysis-based targeting of concealed Kiruna-type Fe oxide-apatite mineralization within the Yangzhuang deposit of the Zhonggu orefield, southern Ningwu volcanic basin, middle-lower Yangtze River metallogenic Belt, China
首页> 外文期刊>Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration >3D characteristic analysis-based targeting of concealed Kiruna-type Fe oxide-apatite mineralization within the Yangzhuang deposit of the Zhonggu orefield, southern Ningwu volcanic basin, middle-lower Yangtze River metallogenic Belt, China
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3D characteristic analysis-based targeting of concealed Kiruna-type Fe oxide-apatite mineralization within the Yangzhuang deposit of the Zhonggu orefield, southern Ningwu volcanic basin, middle-lower Yangtze River metallogenic Belt, China

机译:3D特征分析基于宁武火山盆地中下长江金矿带南部阳庄矿床内阳庄矿床内隐藏基金型Fe氧化铁磷灰石矿化矿化的特征分析。

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Graphical abstractHere, we present a case study of 3D characteristic analysis-based prospectivity modeling for the targeting of mineralization associated with the Kiruna-type iron oxide-apatite type Yangzhuang iron deposit within the Zhonggu orefield of in the southern Ningwu volcanic basin (Jin, 2014; Ningwu Research Group, 1978). The workflow is the core guiding ideology of our work. During the metallogenic prediction, we tried to use characteristics analysis to deal with the 3D voxels data. This modeling outlines three distinct areas of high prospectivity outside of areas of known mineralization that are located to the west (target I), north (target II) and east (target III) of the known mineralization in this region. Our research shows that characteristic analysis can be used to generate 3D prospectivity models, and this technique should be considered for application to other deposit types and other Kiruna-type iron oxide-apatite deposit.Display OmittedHighlights?We use 3D characteristics analysis on the Yangzhuang deposit.?Result indicates that results of our prospective for future exploration.?An new approach to 3D prospectivity modeling is outlined.AbstractThe computer-based modeling of geological and geophysical data allows the construction of 3D geological models that can predict the location of differing lithologies, intrusive units and orebodies. This 3D modeling allows the identification and quantification of the 3D controls on the location and grade and tonnage of mineralization in a given mineral deposit. These controls include factors such as the spatial relationship between mineralization and distinct geological units or features and the record of tectonic movements in an area such as the uplifting or subsidence of individual rock masses during faulting or intrusion. These controls on mineralization can then be combined with the location of areas of known mineralization in an approach termed characteristic analysis, which allows the identification of areas that are prospective for previously unknown mineralization as well as the 3D targeting of areas for future mineral exploration. Here, we present a case study that focuses on the Yangzhuang deposit within the Zhonggu orefield of the southern Ningwu volcanic basin, an important mineral deposit within the middle-lower Yangtze River Metallogenic Belt, China. This case study uses the 3D metallogenic prospectivity modeling approach outlined above. Our research indicates that areas of known mineralization (i.e., already identified orebodies) can be used to train 3D datasets to identify areas that are highly prospective for future exploration, in this ca
机译:<![cdata [ 图形摘要 在此处,我们展示了基于3D特征分析的前瞻性模型的案例研究,以实现了与之相关的矿化Kiruna型氧化铁磷灰石型杨庄矿床内宁武火山南部中古厄菲尔德(Jin,2014; Ningwu Research Group,1978)。工作流程是我们工作的核心指导思想。在成矿预测期间,我们试图使用特征分析来处理3D体素数据。该造型概述了在该区域的已知矿化区域的已知矿化区域之外的三个高前景领域,该区域的已知矿化的北方(靶II)和东(靶III)。我们的研究表明,特征分析可用于产生3D预期模型,并且应该考虑这种技术用于应用于其他沉积物类型和其他基鲁纳型氧化铁 - 磷灰石沉积物。 显示省略 突出显示 我们在阳庄矿床上使用3D特征分析。 结果表明我们未来探索的前景结果。 概述了一种新的3D验证建模的方法。 < / ce:list-item> 抽象 基于计算机的地质和地球物理数据建模允许建造3D地质模型,可以预测不同岩性,侵入性单位和矿石的位置。该3D建模允许在给定的矿床中识别和定量用于矿化的位置和等级和吨位的3D控制。这些控件包括诸如矿化和不同地质单位或特征之间的空间关系等因素,以及在故障或侵入期间各个岩石肿块的升高或沉降的区域中的构造运动记录。然后,这些对矿化的控制可以与已知矿化的区域的位置与已知的特征分析相结合,这允许鉴定以前未知的矿化的前瞻性区域以及未来矿物勘探区域的3D靶向。在这里,我们展示了一个案例研究,重点关注宁武火山南部中古厄菲尔德省阳谷矿床,这是中下长江金矿生成带内的重要矿产矿床。本案例研究采用上述3D成矿前瞻性建模方法。我们的研究表明,已知的矿化区域(即,已识别的矿物)可以用于培训3D数据集以确定该CA中未来勘探的高度前瞻性区域

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