文章摘要
白 洋.滑动衬值法在利比里亚Harper地区铁矿勘查中的应用[J].地质与勘探,2023,59(4):909-920
滑动衬值法在利比里亚Harper地区铁矿勘查中的应用
Application of sliding contrast value method to iron ore exploration in the Harper area, Liberia
投稿时间:2022-11-14  修订日期:2023-04-18
DOI:10.12134/j.dzykt.2023.04.017
中文关键词: 滑动衬值法 铁矿 异常提取 成矿远景区 Harper地区 利比里亚
英文关键词: sliding contrast value method, iron ore, anomaly extraction, metallogenic prospecting area, Harper area, Liberia
基金项目:商务部援外技术合作项目《援利比里亚矿产资源调查项目》(编号:IGGEF2015042)资助
作者单位E-mail
白 洋 湖北省地质局地球物理勘探大队湖北武汉中国地质调查局武汉地质调查中心湖北武汉 178372237@qq.com 
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中文摘要:
      水系沉积物样品作为区域化探工作的主要测试分析物质,其成份组成具有明显的空间异质性,通过对元素含量数据进行滑动衬值标准化处理,可以有效解决该异质性造成的异常信息提取失真的问题。本次研究以利比里亚Harper地区1:25万区域化探数据为依据,以研究区优势成矿元素Fe2O3及其伴生元素V、BIF型铁矿的找矿指示元素Mn为主要研究对象,利用滑动衬值法对Fe、V元素含量数据进行处理,并以处理后的数据的85%、90%、95%分位数值作为各元素异常的外、中、内带值进行单元素异常圈定。处理结果表明该方法可有效提取出低背景区的Fe及其它相关元素的地球化学异常信息,结合Mn原始含量异常分布特征,本次共圈定出Fe2O3-V-Mn组合异常12处,通过对各组合异常的规模进行评序,结合区域成矿地质条件分析,最终在研究区优选出Karloken-Kronoken及Harper两处Fe有利成矿远景区。
英文摘要:
      As the main testing and analyzing material of regional geochemical exploration, the composition of stream sediment samples has obvious spatial heterogeneity. Through the ‘sliding contrast standardization data method’, the problem of anomaly information extraction distortion caused by this heterogeneity can be effectively solved. Based on 1:250000 regional geochemical exploration data in Harper area of Liberia, this work took the dominant ore-forming element Fe2O3 and its associated element V, as well as the prospecting indicator element Mn of BIF type iron ores in the study area as the main research object.The ‘sliding contrast standardization data method’ was used to process the content data of Fe and V elements, and 85%, 90%, and 95% fractile of the processed data were selected as the outer, middle, and inner values of each element anomaly to delineate single element anomaly. The processing results show that this method can effectively extract the geochemical anomaly information of Fe and other related elements in low background area. Based on the anomaly Mn original content and Fe-V standardization data, a total of 12 Fe2O3-V-Mn combination anomalies have been delineated in this study. By evaluating the scale of each combination anomaly and analyzing the regional mineralization geological conditions, two favorable Fe mineralization prospects, Karloken-Kronoken and Harper, were identified in the study area.
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