Temperature Data Quality Assessment

Temperature Data Quality Assessment is a systematic method for evaluating the accuracy, consistency, and reliability of temperature measurements obtained during well testing to ensure their suitability for reservoir characterization and performance analysis.

22

Publications

1K

Citations

116

Authors

69

Institutions

Publications per year

2017–2026

5

Authors

116

  1. JŠ
    Jan Šаfanda

    Czech Academy of Sciences, Czechia

    1 publications · 35 citations

    1

    h-index

  2. CS
    Clemens Simmer

    University of Bonn, Germany

    1 publications · 13 citations

    1

    h-index

  3. WL
    Weidong Liu

    Institute of Geographic Sciences and Natural Resources Research, China

    1 publications · 18 citations

    1

    h-index

  4. SZ
    Shanshan Zhao

    China Meteorological Administration, China

    1 publications · 47 citations

    1

    h-index

  5. GG
    Gianluca Gola

    Institute of Geosciences and Earth Resources, Italy

    1 publications · 35 citations

    1

    h-index

1–5 of 116

Venues

  1. Tectonophysics

    2 publications · 76 citations

    2

    h-index

  2. World Oil; (United States)

    1 publications · 12 citations

    1

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    1 publications · 38 citations

    1

    h-index

  4. Climate Dynamics

    1 publications · 47 citations

    1

    h-index

  5. International Journal of Climatology

    1 publications · 169 citations

    1

    h-index

1–5