Test Data Interpretation

Test Data Interpretation is a methodological framework within well test design that systematically analyzes and synthesizes acquired wellbore and reservoir response data to infer petrophysical properties, flow regimes, and boundary conditions, thereby transforming raw measurements into actionable reservoir characterization insights.

325

Publications

24.7K

Citations

885

Authors

410

Institutions

Publications per year

2017–2026

62

Authors

885

  1. AC
    A. C. Gringarten

    Imperial College London, United Kingdom

    4 publications · 117 citations

    4

    h-index

  2. OZ
    Oliver Zendel

    Austrian Institute of Technology, Austria

    3 publications · 125 citations

    3

    h-index

  3. MH
    Martin Humenberger

    Austrian Institute of Technology, Austria

    3 publications · 125 citations

    3

    h-index

  4. MM
    Markus Murschitz

    Austrian Institute of Technology, Austria

    3 publications · 125 citations

    3

    h-index

  5. HR
    H.J. Ramey

    Stanford University, United States

    3 publications · 200 citations

    3

    h-index

1–5 of 885

Venues

  1. SPE Annual Technical Conference and Exhibition

    Conference · 6 publications · 115 citations

    6

    h-index

  2. PubMed

    Repository · 6 publications · 226 citations

    6

    h-index

  3. Ground Water

    GW · 6 publications · 166 citations

    6

    h-index

  4. 4

    h-index

  5. Journal of Personality Assessment

    4 publications · 117 citations

    4

    h-index

1–5