Well Test Data Quality Control

Well Test Data Quality Control is a systematic procedural framework within petroleum engineering that ensures the accuracy, consistency, and reliability of well test measurements by identifying, correcting, and preventing data anomalies and measurement errors during acquisition and preprocessing stages.

10

Publications

172

Citations

32

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

32

  1. FH
    Florian Hollaender

    Schlumberger (British Virgin Islands), British Virgin Islands

    2 publications · 37 citations

    2

    h-index

  2. KM
    Kazem Monfaredi

    University of Tehran, Iran

    1 publications · 12 citations

    1

    h-index

  3. JG
    Jim G. Filas

    Imperial College London, United Kingdom

    1 publications · 16 citations

    1

    h-index

  4. AC
    Adrian Croucher

    University of Auckland, New Zealand

    1 publications · 14 citations

    1

    h-index

  5. SC
    Shengnan Chen

    University of Calgary, Canada

    1 publications · 41 citations

    1

    h-index

1–5 of 32

Venues

  1. Journal of Petroleum Science and Engineering

    2 publications · 52 citations

    2

    h-index

  2. Geothermics

    1 publications · 14 citations

    1

    h-index

  3. SPE Bergen One Day Seminar

    1 publications · 12 citations

    1

    h-index

  4. SPE Annual Technical Conference and Exhibition

    Conference · 1 publications · 16 citations

    1

    h-index

  5. Journal of Hydrology

    1 publications · 19 citations

    1

    h-index

1–5