指示克立格法在储量估算中的应用
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摘要
针对矿产资源储量估算因特异值或矿床中存在不同类型的矿化作用而影响到品位和储量的精确估计,文章采用地质统计学中一种非参数方法——指示克立格法,以长江中下游地区出露较好、矿化较强的庐枞盆地罗河矿床为例,借助国际主流矿业软件Surpac和传统地质研究方法,通过地质体三维可视化建模,完成矿床Ⅰ号铁矿体、Ⅱ号铁矿体和零星铁矿体的铁矿品位模型。最后,对传统垂直断面法的估值结果与实验估算结果进行比较可得偏差为2.53%,估算结果较为理想,实现了更合理地获取矿体品位的空间分布特征,提高了金属矿床储量估算结果的准确性和合理性。
According to the fact that the outlier and different types of mineralization in the mineral resources reserves estimation will affect the precise estimates of grade and reserves,a nonparametric method of geostatistics-indicator kriging is used.Taking the Luohe deposit,the best exposed and mineralized deposit located in Luzong basin in the middle and lower reaches of Yangtze River,as an example,with the help of the mining software Surpac and traditional geological research method,the iron ore grade model of No.Ⅰore body,No.Ⅱore body and sporadic ore body is established through the geological body three-dimensional visualization modeling.Finally,the reserves estimation results obtained by the traditional vertical section method are compared with the experimental results,and the deviation is 2.53%,which is comparatively ideal.This method can obtain the spatial distribution characteristics of ore body grade more reasonably,and improve the accuracy and rationality of metal deposit reserves estimation results.
According to the fact that the outlier and different types of mineralization in the mineral resources reserves estimation will affect the precise estimates of grade and reserves,a nonparametric method of geostatistics-indicator kriging is used.Taking the Luohe deposit,the best exposed and mineralized deposit located in Luzong basin in the middle and lower reaches of Yangtze River,as an example,with the help of the mining software Surpac and traditional geological research method,the iron ore grade model of No.Ⅰore body,No.Ⅱore body and sporadic ore body is established through the geological body three-dimensional visualization modeling.Finally,the reserves estimation results obtained by the traditional vertical section method are compared with the experimental results,and the deviation is 2.53%,which is comparatively ideal.This method can obtain the spatial distribution characteristics of ore body grade more reasonably,and improve the accuracy and rationality of metal deposit reserves estimation results.
引文
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[2]张宝一,尚建嘎,吴鸿敏,等.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].地质与勘探,2007,43(2):76-81.
[3]秦来勇.地质统计学在地质及矿业中的应用与发展[J].有色冶金,2002,31(6):104-106.
[4]姚永惠,潘志强,孙英君.ArcGIS地统计学分析实用指南[M].北京:中科永生数据科技有限公司,2002.
[5]郭思,郭科,谢箭.基于ArcGIS储量估算系统的开发与实践[J].物探化探计算技术,2010,32(5):560-564.
[6]孙立双.矿体三维建模及储量计算关键问题研究[D].沈阳:东北大学,2007.
[7]邵安林,孙豁然,刘晓军,等.我国采矿CAD开发存在的问题与对策[J].金属矿山,2004(2):1-4.
[8]郭强.基于3DMine的三维矿山模拟研究[D].太原:太原理工大学,2012.
[9]陈国旭.支持传统方法的矿产资源储量估算软件研究进展[J].国土资源信息化,2009(2):10-11.
[10]倪平泽.铜矿床地质统计学模型构建及其应用模式研究[D].武汉:中国地质大学,2010.
[11]荆永滨.矿床三维地质混合建模与属性插值技术的研究及应用[D].长沙:中南大学,2010.
[12]吴健生,黄浩,杨兵,等.新疆阿舍勒铜锌矿床三维矿体模拟及资源评估[J].矿产与地质,2001,15(2):121-123.
[13]黄文斌,肖克炎,丁建华,等.基于GIS的固体矿产资源潜力评价[J].地质学报,2011,85(11):1835-1842.
[14]张明明,周涛发,袁峰,等.长江中下游地区玢岩型铁矿床资源储量估算研究[J].地质学报,2011,85(7):1215-1221.
[15]常印佛,刘湘培,吴言昌,等.长江中下游铜铁成矿带[M].北京:地质出版社,1991:1-56.
[16]黄清涛.论罗河铁矿床地质特征及矿床成因[J].矿床地质,1984,3(4):9-18.
[17]屈红刚,潘懋,明镜,等.基于交叉折剖面的高精度三维地质模型快速构建方法研究[J].北京大学学报(自然科学版),2008,44(6):915-919.
[18]郑通科,陈庆,袁峰,等.三维矿体模型快速构建方法研究[J].合肥工业大学学报(自然科学版),2015,38(1):98-102.
[19]JOURNEL A G,HUIJBREGTS C J.Mining geostatistics[M].Londn:Academic Press,1978.
[20]王仁铎,胡光道.线性地质统计学[M].北京:地质出版社,1988.
[21]GOOVAERTS P.Geostatistics for natural resources evaluation[M].New York:Oxford Univ Press,1997.
[22]DEUTSCH CV,JOURNEL AG.GSLIB software library and user's guide applied geostatistical software[M].2nd ed.New York:Oxford University Press,Inc.,1998.
[23]侯景儒.实用地质统计学[M].北京:地质出版社,1998.
[24]GOOVAERTS P.Comparative performance of indicator algorithms for modeling conditional probability distribution functions[J].Mathematical Geology,1994,26(3):389-411.