Geological Data Integration

Geological Data Integration is the systematic process of combining heterogeneous geological datasets and models from diverse sources, scales, and formats into a unified, coherent representation to enhance subsurface understanding and support consistent interpretation and prediction in geological modeling.

282

Publications

11.9K

Citations

1.2K

Authors

420

Institutions

Publications per year

2017–2026

108

Authors

1.2K

  1. GW
    Gongwen Wang

    China University of Geosciences (Beijing), China

    7 publications · 217 citations

    7

    h-index

  2. JL
    J.L. Laxton

    British Geological Survey, United Kingdom

    5 publications · 109 citations

    5

    h-index

  3. MA
    Maysam Abedi

    University of Tehran, Iran

    5 publications · 291 citations

    5

    h-index

  4. EJ
    Emmanuel John M. Carranza

    James Cook University, Australia

    5 publications · 389 citations

    5

    h-index

  5. SE
    Shanan E. Peters

    University of Wisconsin–Madison, United States

    4 publications · 187 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Computers & Geosciences

    CAGEO · 12 publications · 815 citations

    11

    h-index

  2. Ore Geology Reviews

    9 publications · 385 citations

    9

    h-index

  3. Engineering Geology

    7 publications · 343 citations

    7

    h-index

  4. SPE Annual Technical Conference and Exhibition

    Conference · 5 publications · 115 citations

    5

    h-index

  5. Tectonophysics

    5 publications · 239 citations

    5

    h-index

1–5