Geological modelling of mineral deposits for prediction in mining

被引:36
作者
Sides, EJ
机构
[1] Intl. Inst. Aerosp. Surv. Earth Sci., NL-2628 EB Delft
来源
GEOLOGISCHE RUNDSCHAU | 1997年 / 86卷 / 02期
关键词
orebody modelling; reserve estimation; 3D GIS; 3D visualisation; mine planning; orientation data; multi-resolution models; morphological uncertainty; virtual reality;
D O I
10.1007/s005310050145
中图分类号
P [天文学、地球科学];
学科分类号
07 [理学];
摘要
Accurate prediction of the shape, location, size and properties of the solid rock materials to be extracted during mining is essential for reliable technical and financial planning. This is achieved through geological modelling of the three-dimensional (3D) shape and properties of the materials present in mineral deposits, and the presentation of results in a form which is accessible to mine planning engineers. In recent years the application of interactive graphics software, offering 3D database handling, modelling and visualisation, has greatly enhanced the options available for predicting the subsurface limits and characteristics of mineral deposits. A review of conventional 3D geological interpretation methods, and the model structures and modelling methods used in reserve estimation and mine planning software packages, illustrates the importance of such approaches in the modern mining industry. Despite the widespread introduction and acceptance of computer hardware and software in mining applications, in recent years, there has been little fundamental change in the way in which geology is used in orebody modelling for predictive purposes. Selected areas of current research, aimed at tackling issues such as the use of orientation data, quantification of morphological differences, incorporation of geological age relationships, multi-resolution models and the application of virtual reality hardware and software, are discussed.
引用
收藏
页码:342 / 353
页数:12
相关论文
共 39 条
[1]
Annels AE., 1991, MINERAL DEPOSIT EVAL
[2]
BAK PRG, 1989, 3 DIMENSIONAL APPL G, P155
[3]
BELCHER RC, 1992, 3 DIMENSIONAL MODELL, P107
[4]
BONHAMCARTER GF, 1994, GEOGRAPHIC INFORMATI
[5]
DAVID M., 1977, GEOSTATISTICAL ORE R
[6]
DAVIS JC, 1986, STATISTICS DATA ANAL
[7]
DEFLORIANI L, 1994, 9401 DISI U GEN
[8]
Dimitrakopoulos R.E., 1994, GEOSTATISTICS NEXT C
[9]
FAIRFIELD JD, 1969, Q COLORADO SCH MINES, V61, P329
[10]
Fisher T R., 1992, Three-Dimensional Modeling with Geoscientific Information Systems, P85, DOI DOI 10.1007/978-94-011-2556-7_9