摘要
本文在对南阳盆地及造山带地球化学数据因子分析的基础上,对研究区与铁矿化相关的元素组合进行异常信息的提取与评价。结果表明:1)因子分析获得的F2因子(Co-Mn-Ti-V-Fe)能够很好地反映出与铁矿化相关的异常信息,可以作为寻找铁矿矿化的标志之一;2)从奇异性指数图可以看出,已经发现的铁(磁铁)矿床基本上位于奇异性指数a<2的区域,南阳盆地西部地区异常较好、研究程度低,可以作为进一步开展矿产勘查工作的重点区域;3)S-A方法得到的背景图中高异常值主要分布在中基性岩体的区域,异常图展示出较好的矿化异常,未出现大型铁矿床的原因可能是研究区中基性岩在地表出露比较分散、不具规模,在该区域深部中基性岩体中具有寻找大型隐伏铁矿床的可能。因此,基于奇异性理论和S-A法的综合异常提取方法对于寻找深部和隐伏的矿体具有帮助,可以为下一步的找矿工作提供参考。
Based on the factor analysis of the geochemical data of the Nanyang basin and orogenic belt,the anomaly information extraction and evaluation of the elements associated with the iron mineralization in the study area were carried out.The results show that:1)factor F2(Co-Mn-Ti-V-Fe)obtained can well reflect anomaly information related to iron mineralization and can be used as iron ore prospecting mark;2)in the singularity index diagram the known iron(magnetite)deposits are in the area of singularity exponent a<2;the west Nanyang basin with potential anomlies,less studied thus the key area for further exploration;3)The high anomaly values of the background map obtained by S-A method are mainly distributed in the region of intermediate-basic rock mass and in the anomaly map better mineralization anomalies shown without large-scale iron deposit,possibly resulted from the scattered small-sized intermediate-basic rock mass outcrops,possibly large concealed iron deposits in the deep intermediate-basic rock mass.Therefore,the singularity theory and S-A method-based comprehensive anomaly extraction is helpful to prospect hidden iron ore bodies to depth providing further prospecting targets.
作者
王会敏
陈守余
WANG Huimin;CHEN Shouyu(The Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China;State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China)
出处
《地质找矿论丛》
CAS
2021年第1期105-113,共9页
Contributions to Geology and Mineral Resources Research
关键词
因子分析
奇异性
多重分形滤波
信息提取
异常评价
豫西地区
factor analysis
singularity
multi-fractal filtering
information extraction
anomalies evaluation
the west Henan province