Inverse Square Distance Weighting Vis-À-Vis Ordinary Kriging Techniques in Resource Estimation

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Authors

  • Manas Kumar Mallick
     Department of Mining Engineering, Department of Mining Engineering, IIT (ISM) Dhanbad. ,IN
  • B S Choudhary
     Department of Mining Engineering, IIT (ISM) Dhanbad ,IN
  • G Budi
     Department of Mining Engineering, IIT (ISM) Dhanbad ,IN

Keywords:

SURPAC software, ordinary kriging, inverse square distance weighting, geostatistics, ore reserve estimation.

Abstract

Geostatistics play an important role for reserve estimation in mining industry. Geostatistical tools became popular because of its high degree of accuracy and time saving process for estimation. The uncertainty of geological deposit can be populated by geo-statistical tools. The limestone ore deposit is studied in this paper. The assay value of individual constituents of limestone ore i.e CaO, SiO2, Al2O3 and Fe2O3 are determined for a block by using inverse square distance weighting (ISDW) method. The average assay value of those individual constituents are 45.85, 15.94, 1.56 and 0.82 percentage respectively. The assay value of CaO is also estimated by two linear method of estimation i.e ISDW and ordinary kriging (OK). The assay value of CaO are determined by 45.85 and 44.67 percentage respectively. The assay values are properly validated and concluded accordingly. The application of ISDW and OK are implemented to build the resource model together in order to assess the uncertainty of the deposit. Grade estimation by using different geo-statistical techniques are done by SURPAC mine planning software.

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Published

2022-10-20

How to Cite

Mallick, M. K., Choudhary, B. S., & Budi, G. (2022). Inverse Square Distance Weighting Vis-À-Vis Ordinary Kriging Techniques in Resource Estimation. Journal of Mines, Metals and Fuels, 67(11), 501–506. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31662

Issue

Volume 67, Issue 11, November 2019

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

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