| 矿床模拟几种作法的比较及实例 |
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| 引用本文：.1985.Some ore deposit modeling methods compared[J].Mineral Deposits,4(2):88~96 |
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| Some ore deposit modeling methods compared |
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| Abstract:The ore deposit modeling methods have got increasing utilization in China in recent years. They are characterized by relatively broad train of thought and somewhat different approaches. Taking the vanadium-bearing titanomagnetite deposits in Panxi area as an example, the present paper makes a comparison between several approaches of this method, with a view to investi gating the following problems: 1．The question of whether we take a point(e. g., rock body)or an area (an unit in the squared network)as a cell in the division of prediction cells, and the difference as well as the relationship between these two kinds of divisions. The authors hold the opinion that the adoption of a point(a rock bady) as a cell actually means the appraisement and resource prediction of a known point(a rock body), the advantage of which is that the rock body can be relatively thoroughly investigated and the prediction results serve as reference materials in further geologic work, while the adoption of an area(an unit in the squared network)as a cell means including not only known rock bodies but also discovered rock bodies, which is the real prediction of resource totality in the area but fails to calculate the actual resource totality of each unit, let alone that of each rock body. The results of this prediction can be regarded as the final prospect under the present industrial index for long term plan. 2．Concerning characteristic analysis, R. B. McCammon introduced three methods when be gave lectures in China, and the authors have added three other approaches. Comparison shows that these six means approximately have identical practical effects. Geologists can ohoose them according to actual situation. 3．As regards the quantitative appraisement nlodel, volumetric estimation and Monte Carlo model have been commonly used by previous workers. In our study, the multinomial regression model for resource totality and metallogenic advantageous degree(correlation degree)has been used tentatively which gives rather satisfactory result. With this method, one can obtain data fo resource totality of each cell and can estimate the confidence level an well. |
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