考虑变异函数模型在附加勘探钻孔定位中的认知不确定性

Q4 Earth and Planetary Sciences
S. Soltani, A. Soltani
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引用次数: 1

摘要

为了提高品位块体模型的确定性,需要增加勘探钻孔数量和收集更多的矿床数据。定位这些额外钻孔过程的输入包括变异函数模型参数、从初始钻孔中采集的样品的位置以及地质块模型。这些输入的不确定性将导致额外钻孔的最佳位置的不确定性。同时,初始数据位置清晰,但由于初始数据数量的限制,变异函数模型参数和地质模型存在不确定性。本文采用模糊克里格法考虑变异函数不确定性对附加钻孔最优定位的影响,并采用遗传算法(GA)优化方法求解附加钻孔最优定位问题。铝土矿的实例研究表明了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Considering the Epistemic Uncertainties of the Variogram Model in Locating Additional Exploratory Drillholes
To enhance the certainty of the grade block model, it is necessary to increase the number of exploratory drillholes and collect more data from the deposit. The inputs of the process of locating these additional drillholes include the variogram model parameters, locations of the samples taken from the initial drillholes, and the geological block model. The uncertainties of these inputs will lead to uncertainties in the optimal locations of additional drillholes. Meanwhile, the locations of the initial data are crisp, but the variogram model parameters and the geological model have uncertainties due to the limitation of the number of initial data. In this paper, effort has been made to consider the effects of variogram uncertainties on the optimal location of additional drillholes using the fuzzy kriging and solve the locating problem with the genetic algorithm (GA) optimization method.A bauxite deposit case study has shown the efficiency of the proposed model.
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来源期刊
International Journal of Mining and Geo-Engineering
International Journal of Mining and Geo-Engineering Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
0.80
自引率
0.00%
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0
审稿时长
12 weeks
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