Comparison of Conditioned Radial Basis Function Approach and Kriging: Estimation of Calorific Value in a Coal Field

被引:0
作者
Atalay F. [1 ]
机构
[1] Hacettepe University, Mining Engineering Department, Ankara
来源
Scientific Mining Journal | 2023年 / 62卷 / 02期
关键词
Coal; Geostatistics; Kriging; Radial basis function;
D O I
10.30797/MADENCILIK.1315628
中图分类号
学科分类号
摘要
Due to low production cost, coal is still the most important source of electricity production worldwide. This important position of coal also makes the evaluation of coal resources important. One of the most important attributes to be assessed in this evaluation is estimating the calorific value distribution of deposit. In geostatistical estimation currently kriging and its variants are being used widely. Alternatively new techniques are being developed and one of them is the Radial Based Functions based method. In this study, Conditioned Radial Basis Function (CRBF) is used to estimate the calorific value distribution of a coal deposit while estimations are also performed with ordinary kriging (OK). Results of both estimation methods are compared with respect to composite calorific values. Results show that CRBF produced a higher estimation range than OK with closer mean to composite. However, like OK, results are still smoother than the composite values. © 2023 Union of Chambers of Engineers and Architects of Turkey. All rights reserved.
引用
收藏
页码:93 / 98
页数:5
相关论文
共 31 条
  • [11] Inaner H., Nakoman E., Karayigit A.I., Coal resource estimation in the Bayir field, Yatagan-Mugla, SW Turkey, Energy Sources, Part A, 30, pp. 1005-1015, (2008)
  • [12] Jeuken R., Xu C., Dowd P., Improving Coal Quality Estimations with Geostatistics and Geophysical Logs, Nat Resour Res, pp. 1-18, (2020)
  • [13] Journel A.G., Huijbregts C.J., Mining geostatistics, (1978)
  • [14] Myers D.E., Kriging, cokriging, radial basis functions and the role of positive definiteness, Comput Math with Appl, 24, pp. 139-148, (1992)
  • [15] Olea R. A., Luppens J. A., Tewalt S. J., Methodology for quantifying uncertainty in coal assessments with an application to a Texas, (2011)
  • [16] lignite deposit, International Journal of Coal Geology, 85, 1, pp. 78-90
  • [17] Olea R.A., Geostatistics for engineers and earth scientists, (2012)
  • [18] Orr M.J.L., Introduction to radial basis function networks, (1996)
  • [19] Pardo-Iguzquiza E., Dowd P.A., Baltuille J.M., Chica-Olmo M., Geostatistical modelling of a coal seam for resource risk assessment, Int J coal Geol, 112, pp. 134-140, (2013)
  • [20] Rossi M.E., Deutsch C. V., Mineral resource estimation, (2013)