基于分形理论的江西宜丰水岭矿区成矿预测
[Abstract]:The distribution law of element geochemistry is very complicated and can not be described by a single linear relation, such as the non-linear relation between the deposit and various ore-forming control factors, and the traditional theory can not comprehensively and accurately solve the non-linear problems involved in the metallogenetic engineering. Therefore, in order to improve the accuracy of ore-forming prediction, it is necessary to apply the theory and method of non-linear science (including isolated wave, mixed wave, fractal, etc.) to the geochemical data processing and the ore-forming prediction of the mining area. The essence of fractal is to describe the power-law relation between things, and the relation of different power-law has a specific fractal dimension, and the essence of things is described according to the characteristics of the fractal dimension. The element content in the regional strata is a function relation in time and space, and the geochemical background value and the abnormal value of the element have their respective characteristics. This indicates that the formation of the anomaly has the power-law relation, that is, the fractal dimension is independent. Therefore, a fractal method is used to describe the nature of geochemical anomaly formation. the premise of the traditional method to process the geochemical data is to eliminate the extreme points which do not meet the normal distribution, but the distribution of the elements is formed under a plurality of factors, the distribution of each element has a specific rule, and the sampled sample point data can not be the distribution rule of the real reaction element itself, and the content-area fractal method does not need to remove the sample point data, and the distribution rule of the element itself is not broken. Therefore, the content-area fractal method can make up for the defect and deficiency that the traditional statistical method can eliminate the extreme points that do not meet the normal distribution in the data processing of geochemical exploration. This paper applies the fractal theory to the data processing of geochemical exploration in Yifeng, Yifeng, Jiangxi, and provides an accurate prospecting target for prospecting and exploration in the mining area. Based on the multivariate statistical analysis of the geochemical data, the relationship between the W element and other elements is discussed, the geochemical data is treated by the traditional method and the fractal method, the lower limit of the anomaly is compared and analyzed, and the reasonable lower limit is selected. Using the MAPGIS and Surfer professional mapping software, the geochemical anomaly map and the combined anomaly map are drawn, and the prospecting target area is delineated by combining the geological characteristics of the mining area. Through the above research, the following conclusions are drawn: (1) The correlation analysis shows that only the Au element is positively related to the W element, indicating that the Au element has a certain correlation with the W element, The enrichment of the Au element indicates the enrichment of the W element to a certain extent. The cluster analysis shows that when the distance coefficient d = 5, only Au, Nb, and Cu form a combination, and the other elements do not show the correlation. the target element w exhibits independence, a single class. The relationship between W and Au is determined by factor analysis, and the results of correlation analysis are consistent. (2) The geochemical data is treated by the traditional method and the fractal method, and the result shows that the lower limit of the anomaly obtained by the fractal method is higher than that of the abnormal lower limit obtained by the traditional statistical method. The lower limit of the anomaly obtained by the fractal method is lower than the lower limit of the anomaly obtained by the traditional statistical method, because the content-area fractal method does not follow the special high and low values of the normal distribution in the data, The invention can further delineate the abnormal range for the high-anomaly area, and can be used for sensitively identifying the weak point and the abnormal area, and the defect and the defect of the traditional method are made up. (3) Through the comparison of the anomaly map of the single element, it is found that the fault of the north west shows a good fitting relation of Au, W, Pb and Zn, the four elements are abnormal in the vicinity of the fracture, and there is a good concentration distribution phenomenon. It is indicated that the potential of the tungsten ore is large and the prospect is good. (4) By making the combined anomaly map, two key target areas are preliminarily delineated based on the combination condition of each element and the existing survey results: one is the north west of the mining area to the northwest corner of the fracture, that is, the AP1 area, where the overlap of the concentrated centers of the six elements of Au, Cu, Pb, Zn, W and Mo is good, the abnormal scale is large, so the fracture periphery is the key target area for finding the tungsten ore; 2 is the south-east corner of the mining area, namely the AP2 area, where W is abnormally large-area output, and the three-level concentration sub-belt is abnormal; and according to the abnormal form of W element and the output condition of W, it can be preliminarily estimated that there is a north-west fault in the deep part of the region, which indicates that the future of the tungsten ore is good, and the next step is to carry out the engineering verification on the abnormal region delineated in this paper to assist in the next prospecting breakthrough.
【学位授予单位】:成都理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P612
【参考文献】
相关期刊论文 前10条
1 张飞燕;陈晓山;;分形概念及其在构造地质研究中的应用[J];中国煤炭地质;2008年03期
2 刘莹;胡敏;余桂英;李小兵;刘晓林;;分形理论及其应用[J];江西科学;2006年02期
3 陈旭,李佑国,黄瑞,费光春;川西斑岩型铜矿找矿中地球化学异常的筛选与查证[J];新疆地质;2005年03期
4 温彦良,李胜;分形理论在地质动力区划方法中的应用[J];辽宁工程技术大学学报;2003年S1期
5 谢淑云,鲍征宇;多重分形与地球化学元素的分布规律[J];地质地球化学;2003年03期
6 施俊法;浙江省诸暨地区元素地球化学分布与标度律[J];地球科学;2001年02期
7 陈明,李金春;化探背景与异常识别的问题与对策[J];地质与勘探;1999年02期
8 丁式江,翟裕生,邓军;中国金矿床分布的分形研究[J];地质论评;1998年02期
9 黎彤,倪守斌;中国大陆岩石圈的化学元素丰度[J];地质与勘探;1997年01期
10 申维;成矿预测中的分形模型分维数估计的新方法[J];长春地质学院学报;1997年01期
相关博士学位论文 前4条
1 陈国雄;基于分形与小波理论的成矿复杂信息提取与识别方法研究[D];中国地质大学;2016年
2 刘欢;西南三江南段成矿地质背景与地球化学分形解析[D];中国地质大学(北京);2013年
3 鄢旭久;黑龙江漠河地区分形成矿远景预测研究[D];吉林大学;2012年
4 陈志军;多重分形局部奇异性分析方法及其在矿产资源信息提取中的应用[D];中国地质大学;2007年
相关硕士学位论文 前3条
1 张建;分形理论在东天山金矿预测中的运用[D];新疆大学;2006年
2 周智勇;基于分形与地质统计学理论的矿床建模技术研究及实践[D];中南大学;2005年
3 刘二永;分形理论在元素地球化学异常中的应用[D];成都理工大学;2002年
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