Pandawa Logo

Scopus CiteScore 2024

4.8

Calculated on 05 May, 2025

SJR 2024

0.31

Powered by scimagojr.com

Language

Journal of Multidisciplinary Applied Natural Science

ISSN (eletronic): 2774-3047


Vol. 5 Issue 2 (2025) Articles https://doi.org/10.47352/jmans.2774-3047.252

Geostatistical Modeling using Ordinary Kriging for Estimating Nickel Resources in Sulawesi Indonesia

Irfan Marwanza Danu Putra Masagus Ahmad Azizi Wiwik Dahani Rhazes Eesha Gumay Silvia Immanuela Sahetapy

Author information

Irfan Marwanza

https://orcid.org/0000-0003-3544-4886
  • irfanm@trisakti.ac.id
  • Department of Mining, University of Trisakti, Jakarta-11450 (Indonesia)
  • Biography not informed.

Author information

Danu Putra

https://orcid.org/0000-0002-7950-2593

Author information

Masagus Ahmad Azizi

https://orcid.org/0000-0003-2965-8124

Author information

Wiwik Dahani

https://orcid.org/0000-0002-6791-3117
  • wiwik_d@trisakti.ac.id
  • Department of Mining, University of Trisakti, Jakarta-11450 (Indonesia)
  • Biography not informed.

Author information

Rhazes Eesha Gumay

https://orcid.org/0009-0005-0271-4845

Author information

Silvia Immanuela Sahetapy

https://orcid.org/0009-0003-8808-8288
  • si.sahetapy24@gmail.com
  • Department of Mining, University of Trisakti, Jakarta-11450 (Indonesia)
  • Biography not informed.

Published in: March 02, 2025

[1]
I. Marwanza, D. Putra, M. A. Azizi, W. Dahani, R. E. Gumay, and S. I. Sahetapy, “Geostatistical Modeling using Ordinary Kriging for Estimating Nickel Resources in Sulawesi Indonesia”, J. Multidiscip. Appl. Nat. Sci., vol. 5, no. 2, pp. 383–397, Mar. 2025.

Abstract

Geostatistic is a statistical tool used in the mining sector to estimate and classify mining resources at a specific location. The purpose of this study was to evaluate the distribution or model of nickel resources, as well as estimate and classify nickel resources using a geostatistical approach. This study used data from exploration drilling at one of the nickel mining concessions in Sulawesi, Indonesia. The data set included 464 drill holes with an average distance of 50–100 m. The initial stage in this study was to develop a geological model, followed by descriptive statistical analysis, with the results of the variance coefficient ranging from 0.5 to 1.5 and normal distribution, indicating that the ordinary kriging method can be used and is considered adequate to produce sound and consistent findings. The values obtained from the variogram analysis on the spherical model will be used as parameters in the ordinary and  efficiency kriging processes. Based on the estimation and classification of nickel resources using ordinary and efficiency kriging, the total measured, indicated, and inferred nickel resources are 39, 1.25, and 3 million tons, respectively, with an average Ni content of 1.16%.

References

Paper information