DocumentCode :
2865047
Title :
Mineral Resource Prediction Based on 3D-GIS and BP Network Technology: A Case of Study in Pulang Copper Deposit, Yunnan Province, China
Author :
Wang, Gongwen ; Du, Yangsong ; Cui, Gen ; Tan, Chengyin
Author_Institution :
State Key Lab. of Geol. Processes & Miner. Resources, China Univ. of Geosci., Beijing, China
Volume :
3
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
382
Lastpage :
386
Abstract :
On basis of the theory of Geostatistics, using the data of geology, assay records of borehole samples, and the cross-sections in Pulang copper deposit, using virtual borehole, BP net work, and 3D geological model technologies integration, borehole data are optimized, and the Pulang deposit 3D prediction models are constructed by 3D-GIS interpolation technology. In this paper, the main insights in 3D models of Pulang Cu deposits are as follows:(1) the maximum mineralization depth of the rock is 1050 m in the KT1 of the south study area;(2) both the mineralized body of 3D model and the ore-body of 3D model are like a cone. The 3D model of higher grade of copper has a correlative to the ¿y¿ faults and the alteration zone; (3) the concealed ore bodies can be inferred. Both the north zone and the south zone in the study area have concealed ore bodies at depth respectively, and the western zone of the study area is a potential region for ore prospecting;(4) on basis of the 3D copper mineralized body model, the potential Cu reserve is about 6,058,000t in this deposit.
Keywords :
backpropagation; geographic information systems; mining; solid modelling; 3D geological model technology integration; 3D-GIS interpolation technology; Pulang copper deposit 3D prediction model; backpropagation network technology; depth 1050 m; geographic information system; geostatistics theory; maximum mineralization depth; mineral resource prediction; virtual borehole; Belts; Computer networks; Copper; Geology; Laboratories; Mineral resources; Mineralization; Ores; Predictive models; Rivers; 3D-GIS; BP network; Mineral resource prediction; Pulang copper deposit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.305
Filename :
5366298
Link To Document :
بازگشت