超大规模地质勘探数据下的矿产资源分级

Mineral resource classification at a large-scale geological exploration result

随着国家"走出去"的资源战略的政策鼓励下,越来越多的我国企业参与海外资源并购。在资源并购项目上,资源量与资源级别是决定投资价值的重要因素,然而国外公司对资源勘探的标准和国内相差很多,常常进行大规模的勘探,勘探过程中一般并不遵循一定的网度,其结果是产生超大规模的地质勘探数据,并且杂乱无章,很难根据国内的资源标准进行分类。为了解决此难点,创造性的提出了应用地质统计学和三维椭球体缓冲方法,将大规模数据快速转换成相应的国内的分级资源标准,为投资提供参考依据。

Along with the condition of China＇s encouragement strategic policy for resources ＂Going Abroad＂,a growing number of Chinese enterprises participate in overseas resource acquisition.In decision-making of the resource acquisition,resource capacity and resource category are the important factors.However,there are lots of differences between Chinese resources standard with the resource code of foreign companies on exploration.In the exploration program of foreign companies,large-scale exploration programming is often conducted,and generally the exploration process does not follow a regular grid,and the result is to produce ultra-large-scale geological prospecting and disorganized geological data,which is much difficult to classify the resource based on the Chinese tradition resource category.The creative application methods of geostatistics and three-dimensional ellipsoid buffer were submitted to quickly classify the large-scale geological data into Chinese standard and provided a reference for investment.