基于地质统计学的个旧矿区裂隙特征研究

Fracture characteristics of Gejiu mining area based on geostatistics

为了研究个旧矿区的裂隙特征,使用ArcGIS软件运用改进的圆形扫描测线法对个旧矿区的两处研究区域裂隙进行了提取,通过运用地质统计学对裂隙数据进行分析,得到采样点1区域的裂隙307条;裂隙长度集中在3.09~7.68 m,累积频率分布为50%时的裂隙长度为4.70 m;方向主要集中在60°~250°的裂隙共有259条,占比为85.34%;裂隙密度为0.2903。采样点2区域的裂隙共有227条,裂隙长度集中在3.76~7.62 m,累积频率分布为50%时的裂隙长度为4.88 m;方向主要集中在60°~230°的裂隙共有196条,占比为86.34%;裂隙密度为0.1777。通过对比得到同一区域不同采样点的裂隙分布之间具有一定的相似特性,但随采样点离断裂位置距离的不同,裂隙方向和裂隙密度也展现出了局部变异特征,其中采样点1更靠近莲花山断裂附近,所以受到的影响更大。研究结果可以丰富矿区的地质研究,为找矿勘查工作提供理论和资料依据。

To study the characteristics of fractures in the Gejiu mining area,this paper uses ArcGIS software to extract fractures in two research areas of the Gejiu mining area by using the improved circular scanning line measurement method.By using geostatistics to analyze the fracture data,it is obtained that there are 307 fractures in the sampling point 1 area,and the fracture length is concentrated in 3.09—7.68 m,and the fracture length is 4.70 m when the cumulative frequency distribution is 50%.A total of 259 fractures mainly concentrated in the direction of 60°—250°,accounting for 85.34%.The fracture density was 0.2903.There were 227 fractures in sampling point 2,and the length of fractures ranged from 3.76 m to 7.62 m.When the cumulative frequency distribution was 50%,the length of fractures was 4.88 m.There were 196 fractures in the direction of 60°—230°,accounting for 86.34%.The fracture density was 0.1777.Through comparison,it is found that the distribution of fractures at different sampling points in the same area has certain similar characteristics,but the direction and density of fractures also show local variation characteristics with the different distances of sampling points from the fault location.Sampling point 1 is closer to the Lianhuashan fault,so it is affected more.The research results can enrich the geological study of the mining area and provide a theoretical and data basis for the prospecting work.