Geostatistical Inversion

Geostatistical Inversion is a geostatistical method that integrates seismic data, well logs, and spatial correlation models within a probabilistic framework to generate high-resolution, stochastic representations of subsurface reservoir properties while quantifying associated uncertainties.

261

Publications

12.6K

Citations

660

Authors

285

Institutions

Publications per year

2017–2026

74

Authors

660

  1. PK
    Peter K. Kitanidis

    Stanford University, United States

    17 publications · 1.9K citations

    15

    h-index

  2. LA
    Leonardo Azevedo

    University of Lisbon, Portugal

    16 publications · 414 citations

    13

    h-index

  3. RN
    Rúben Nunes

    University of Lisbon, Portugal

    10 publications · 276 citations

    10

    h-index

  4. OA
    Olaf A. Cirpka

    University of Tübingen, Germany

    9 publications · 515 citations

    9

    h-index

  5. DG
    Darío Graña

    University of Wyoming, United States

    8 publications · 372 citations

    8

    h-index

1–5 of 660

Venues

  1. Water Resources Research

    47 publications · 4.2K citations

    31

    h-index

  2. Geophysics

    17 publications · 924 citations

    16

    h-index

  3. SPE Annual Technical Conference and Exhibition

    Conference · 11 publications · 320 citations

    11

    h-index

  4. Advances in Water Resources

    9 publications · 278 citations

    9

    h-index

  5. Mathematical Geology

    7 publications · 482 citations

    7

    h-index

1–5