Simulation-based Resource Estimation

Simulation-Based Resource Estimation is a methodological framework within geostatistics that distinguishes itself by employing conditional simulation techniques to quantify spatial uncertainty and generate multiple equiprobable realizations of a resource deposit, thereby enabling probabilistic assessment of mineral or energy resource quantities under geological constraints.

44

Publications

1.2K

Citations

105

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

105

  1. RT
    Raimon Tolosana‐Delgado

    Helmholtz Institute Freiberg for Resource Technology, Germany

    4 publications · 99 citations

    4

    h-index

  2. HB
    Heru Berian Pratama

    Bandung Institute of Technology, Indonesia

    3 publications · 64 citations

    3

    h-index

  3. WD
    W. David Menzie

    United States Geological Survey, United States

    3 publications · 122 citations

    3

    h-index

  4. LD
    L.J. Drew

    United States Geological Survey, United States

    2 publications · 43 citations

    2

    h-index

  5. NM
    Nasser Madani

    Nazarbayev University, Kazakhstan

    2 publications · 56 citations

    2

    h-index

1–5 of 105

Venues

  1. Mathematical Geosciences

    3 publications · 65 citations

    3

    h-index

  2. Antarctica A Keystone in a Changing World

    3 publications · 78 citations

    3

    h-index

  3. Natural Resources Research

    NRR · 3 publications · 129 citations

    3

    h-index

  4. Economic Geology

    2 publications · 43 citations

    2

    h-index

  5. IOP Conference Series Earth and Environmental Science

    EES · Conference · 2 publications · 30 citations

    2

    h-index

1–5