土耳其Adana-Tufanbeyli褐煤田煤层建模及储量计算

Sedat Toraman, Cem Şensöğüt2
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引用次数: 0

摘要

由于采矿作业的第一次投资非常高,因此,为适当的规划和成本分析建立三维模型是绝对重要的。在实地进行的地质、地球物理和钻探勘探研究的全部数据集应作为一个整体加以评价。在建模阶段,采用计算机辅助三维采矿软件代替了以往使用的经典储量计算方法。因此,获得了更现实和更短的结果。本文对土耳其Adana-Tufanbeyli褐煤田进行了三维煤层建模。在建模中,检查了该油田的煤层层位。在此基础上,确定了层位上的子层位,并考察了各子层之间的几何关系,确定了3个子层。采用井下法制备了煤层复合材料,使不同尺寸的分析结果一致。通过在不同方向上创建变量,可以进行区块质量估计,这将是储量计算的基础。首先在垂直方向和水平方向分别创建变异函数,以获得必要的参数。根据所建立的变异函数模型得到了熔核效应和结构距离参数。在块模型上分配质量估计值时,当数据量足够时采用Kriging法,当数据量不足时采用逆距离法。通过模拟研究,确定了该地区褐煤储量为355.617.194吨,平均热值为1.153 Kcal/kg。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seam Modelling and Reserve Calculation for Lignite Field in Adana-Tufanbeyli (Turkey)
Since the first investment in mining operations is very high, so, it is absolutely important to model the field inthree dimensions for appropriate planning and cost analysis. The whole data set belonging to the geological, geophysicaland drilling exploration studies carried out in the field should be evaluated as a package. In the modelling phase, thecomputer-aided tri-dimensional mining software has been used instead of the classical reserve calculation methods beingutilized in previous years. Thus, more realistic and shorter results are achieved. In the present work, three-dimensionalseam modelling of the Adana-Tufanbeyli (Turkey) lignite field was carried out. In modelling, the coal horizon of thefield was examined. Then, the sub-seam levels in the horizon were determined and after examining their geometricrelationships with each other, three sub-seams were defined. Seam composites were prepared by the downhole methodto make the analysis results of different sizes uniform. It is possible to make block quality estimations, which will be thebasis for reserve calculations, by creating variograms in different directions. Variograms are first created in the verticaldirection and then in the horizontal direction respectively, to obtain the necessary parameters. The nugget effect andstructural distance parameters were obtained from the created variogram models. To assign quality estimation values onthe block model, the Kriging method was used when the number of data was sufficient, and the inverse distance methodwas applied, when it was insufficient. As a result of this modelling study, a total of 355.617.194 tons of lignite reserveswith an average calorific value of 1.153 Kcal/kg were determined in the field.
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