Geostatistical Grade Control

Geostatistical Grade Control is a geostatistical framework for ore grade estimation and mine production optimization that integrates spatial variability modeling, kriging-based interpolation, and conditional simulation to enable accurate delineation of ore boundaries and minimization of grade uncertainty in mining operations.

6

Publications

174

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

15

  1. SB
    Sukumar Bandopadhyay

    University of Alaska Fairbanks, United States

    1 publications · 23 citations

    1

    h-index

  2. RG
    Rajive Ganguli

    University of Alaska Fairbanks, United States

    1 publications · 23 citations

    1

    h-index

  3. MG
    M. Godoy

    McGill University, Canada

    1 publications · 28 citations

    1

    h-index

  4. JP
    Joanne Phillips

    Rio Tinto (Australia), Australia

    1 publications · 23 citations

    1

    h-index

  5. SD
    Sridhar Dutta

    University of Alaska Fairbanks, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 15

Venues

  1. Natural Resources Research

    NRR · 1 publications · 23 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Mathematical Geosciences

    1 publications · 45 citations

    1

    h-index

  5. International Journal of Coal Geology

    1 publications · 23 citations

    1

    h-index

1–5