基于地质统计学法的资源量估算中特高品位鉴别方法  被引量:4

Identification methods for ultra-high grade in resource estimation based on geostatistics method

在线阅读下载全文

作  者:杨丰铭 杨昌华 汪永华 姜永果 李星 王艳 Yang Fengming;Yang Changhua;Wang Yonghua;Jiang Yongguo;Li Xing;Wang Yan(School of Land and Resources Engineering,Kunming University of Science and Technology;Geological,Geophysical and Chemical Exploration Institute of Yunnan Nonferrous Geology Bureau;Yunnan Nonferrous Geological Survey Geological Prospecting Institute)

机构地区:[1]昆明理工大学国土资源工程学院 [2]云南省有色地质局地质地球物理化学勘查院 [3]云南省有色地质局地质研究所

出  处:《黄金》2022年第8期23-26,共4页Gold

基  金:国家自然科学基金项目(41172087);云南省有色地质局地质地球物理化学勘查院重点社会项目(20191300003)。

摘  要:特高品位是指在矿化较不均匀的地质体中,比一般品位高出很多倍的异常品位。基于以往大量概率统计分布在特高品位处理的应用,对在地质统计学资源量估算中特高品位上限的选取方法进行研究,并讨论各种方法的优缺点。利用经验累计分布函数曲线确定特高品位上限,对以往使用该方法时所缺少的检验步骤,根据现行规范要求利用西舍尔估值法检验特高品位上限选取的合理性。利用地质统计学法处理特高品位,与传统方法相比,具有计算步骤简便、检验方法易行、实时性高、灵敏度高等特点。Ultra-high grade refers to the abnormal grade which is many times higher than the general grade in the geological body with uneven mineralization.Based on a large number of previous studies on the application of probability statistics distribution to ultra-high grade processing,this paper studies the selection methods of ultra-high grade upper limit in geostatistical resource estimation,and discusses the advantages and disadvantages of various methods.Empirical cumulative distribution funcion curve is used to determine the upper limit of ultra-high grade.Taking into account the missing verification steps in previous use of the method,Sichel s estimation method is used to verify the rationality of the selection of the upper limit of ultra-high grade according to the requirements of the current specification.Compared with the traditional method,the geostatistics method for ultra-high grade processing has the advantages of simple calculation steps,easy verification method,high real-time degree and high sensitivity.

关 键 词:地质统计学法 特高品位 经验累计分布函数曲线 西舍尔估值 资源量估算 

分 类 号:TD15[矿业工程—矿山地质测量] P624.7[天文地球—地质矿产勘探]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象