3D Geological Modeling and Application of Ordinary Kriging Method based on 3Dmine Platform

宣良瑞; 邹立强; 陈明昌

doi:10.16056/j.2096-7705.2022.02.017

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3D Geological Modeling and Application of Ordinary Kriging Method based on 3Dmine Platform

更新时间：2026-01-19

- 3D Geological Modeling and Application of Ordinary Kriging Method based on 3Dmine Platform
- Issue 2, Pages: 97-100+115(2022)
- 作者机构：
  
  1. 马钢集团设计研究院有限责任公司
  2. 山东省煤田地质局第二勘探队
- 作者简介：
- 基金信息：
- DOI：10.16056/j.2096-7705.2022.02.017
  CLC： P628
- Published：2022
- 稿件说明：
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宣良瑞, 邹立强, 陈明昌. 3D Geological Modeling and Application of Ordinary Kriging Method based on 3Dmine Platform[J]. 2022, (2): 97-100+115.
DOI：

宣良瑞, 邹立强, 陈明昌. 3D Geological Modeling and Application of Ordinary Kriging Method based on 3Dmine Platform[J]. 2022, (2): 97-100+115. DOI： 10.16056/j.2096-7705.2022.02.017.

摘要

为解决我国与西方不同资源储量估算方法造成的估算结果差异问题，基于我国现有三维软件平台建立三维岩性模型，并对钻孔数据进行数学统计分析，确定了每种岩性下的不同变异函数，最终采用普通克里格法构建了三维地质模型。结果表明，此方法构建的三维地质模型具有较高的可信度，资源储量结果与JORC标准下公示的结果基本一致，可作为矿山后续开发利用的依据。此模型不仅可以直观的反映矿体的三维形态亦可以快速估算不同工业指标条件下的资源储量分布情况，为矿山采矿设计、技术经济评价等提供了动态数据支持。此建模方法的研究推广对我国后续开发国外矿山具有一定的指导意义。

Abstract

In order to solve the problem of the difference in estimation results caused by different resource reserve estimation methods between China and Western countries

a lithology model was established based on the existing three-dimensional software platform in China

the mathematical statistical analysis of the drilling data was carried out

the different variation functions under each lithology was determined

and finally the ordinary Kriging method was used to establish the three-dimensional geological model. The results show that the three-dimensional geological model constructed by this method has high reliability

and the resource reserve results are basically consistent with the results publicized under JORC standard

which can be used as the basis for subsequent development and utilization of the mine. This model can not only intuitively reflect the three-dimensional shape of the ore body

but also quickly estimate the distribution of resource reserves under different industrial indicators

which provides dynamic data support for mine mining design

technical and economic evaluation. The research and popularization of this modeling method has certain guiding significance for China’s follow-up development at foreign mines.

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references

基于3DMINE的三维地质模型在石灰岩矿资源量估算中的应用探讨[J]. 李赵阳;周文文;苗智聪.资源环境与工程,2021(05)

普通克里格法在桃山罗布里南部地区铀矿储量估算中的应用[J]. 周邓;胡玮;赵陟君.现代矿业,2021(08)

3Dmine平台下的三维地质建模与应用[J]. 张磊;詹润;许光泉;孙贵;胡广青;赵锐.现代矿业,2021(07)

3DMINE矿业工程软件在矿山模型及资源储量估算中的应用——以津巴布韦卡玛提威锡锂铍钽铌多金属矿为例[J]. 问娣;邱仁轩;钟石;乔雪锋;王光洪;冯锋.四川地质学报,2021(02)

三维矿山地质建模与空间分析探讨[J]. 陈楠;谭培.世界有色金属,2021(05)

多重指示克里格法在坦桑尼亚某金矿床储量估算中的应用[J]. 黄松;谢玉玲.中国矿业,2019(07)

普通克里格法在铜曼矿区储量估算中的应用[J]. 刘佶林;杨忠;王孝东;冯光华.有色金属(矿山部分),2019(01)

基于DIMINE的红龙厂铜矿床地质建模与储量计算[J]. 余璨;李峰;张达兵;陈明贵.金属矿山,2015(02)

三维地质建模与克里格法在栾川南泥湖钼矿田中的应用[J]. 刘天娇;王功文.矿床地质,2014(S1)

基于普通克里格法的泥河铁矿床资源储量估算研究[J]. 王炯辉;李毅;黄冬梅;张明明;李晓晖.地质与勘探,2013(06)

克里格法在司家营铁矿块体建模中的应用[J]. 陈彦亭;庞晔斌;宋爱东;李金龙;陈越.现代矿业,2013(06)

Reserve estimation of central part of Choghart north anomaly iron ore deposit through ordinary kriging method[J]. Ali Akbar Daya.International Journal of Mining Science and Technology,2012(04)

矿业软件在矿山三维可视化建模中的应用[J]. 张长锁.有色金属(矿山部分),2011(06)

长江中下游地区玢岩型铁矿床资源储量估算研究[J]. 张明明;周涛发;袁峰;李晓晖;李修钰;贾蔡.地质学报,2011(07)

三维地质建模及可视化技术在固体矿产储量估算中的应用[J]. 张宝一;尚建嘎;吴鸿敏;刘修国;吴信才.地质与勘探,2007(02)

陕西光石沟铀矿床三维地质建模及资源评价[D]. 刘天娇.中国地质大学(北京),2015

Application of geostatistics with Indicator Kriging for analyzing spatial variability of groundwater arsenic concentrations in Southwest Bangladesh.[J]. Hassan M Manzurul;Atkins Peter J.Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering,2011(11)

Grade and Reserve Estimation of the Tulovasi Borate Deposit by Block Kriging[J]. C. Sarac;A. Tercan.International Geology Review,1996(9)

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