Concepedia

Intelligent Pigging

Intelligent Pigging is an advanced pipeline inspection methodology that employs sensor-equipped tools to collect high-resolution structural and geometric data for the purpose of detecting, characterizing, and assessing anomalies within pipelines.

10

Publications

256

Citations

24

Authors

10

Institutions

Publications per year

2017–2026

5

Parents

Publications

10

Top of Line Corrosion in Multiphase Gas Lines. a Case History

Yves Gunaltun, J. Achmad · 1999 · 62 citations

, , +15

Navigation Kalman Filter Design for Pipeline Pigging

Eun-Hwan Shin, Naser El‐Sheimy · Journal of Navigation · 2005 · 39 citations

, , +17

AC Corrosion on a Pipeline Located in an HVAC Utility Corridor

Harry R. Hanson, Jack Smart · 2004 · 32 citations

, , +17

Smart-Spider: Autonomous Self-driven In-line Robot for Versatile Pipeline Inspection ⁎ ⁎The authors would like to the support from Danish Hydrocarbon Research and Technology Centre(DHRTC) through DHRTC Radical Project Programme

Ying Qu, Petar Durdevic, Zhenyu Yang · IFAC-PapersOnLine · 2018 · 26 citations · Full text

, , +16

The Use of Inspection Results for the Evaluation of Batch Treatment Efficiency and the Remaining Life of the Pipelines Subjected to Top of Line Corrosion

Matina Thammachart, Yves Gunaltun, Suchada Punpruk · 2008 · 25 citations

, , +17

1–5 of 10

Authors

24

  1. YG
    Yves Gunaltun

    Total (France), France

    2 publications · 87 citations

    2

    h-index

  2. AR
    Ahmed Reda

    Curtin University, Australia

    1 publications · 21 citations

    2

    h-index

  3. IA
    Ibrahim A. Sultan

    Federation University, Australia

    1 publications · 21 citations

    2

    h-index

  4. MA
    Mohamed A. Shahin

    Curtin University, Australia

    1 publications · 21 citations

    2

    h-index

  5. KM
    Kristoffer McKee

    Curtin University, Australia

    1 publications · 21 citations

    2

    h-index

1–5 of 24

Institutions

10

  1. Federation University

    Ballarat, Australia

    2 h-index

    1 publications

    21 citations

  2. Curtin University

    Perth, Australia

    2 h-index

    4 publications

    84 citations

  3. University of Calgary

    Calgary, Canada

    1 h-index

    1 publications

    39 citations

  4. Tallinn University of Technology

    Tallinn, Estonia

    1 h-index

    1 publications

    12 citations

  5. Instituto Federal do Rio Grande do Norte

    Natal, Brazil

    1 h-index

    2 publications

    26 citations

  6. Aalborg University

    Aalborg, Denmark

    1 h-index

    3 publications

    78 citations

  7. Total (France)

    Paris, France

    1 h-index

    3 publications

    186 citations

  8. Universidade Federal do Rio Grande do Norte

    Natal, Brazil

    1 h-index

    4 publications

    52 citations

1–8 of 10

Venues

  1. 2

    h-index

  2. Sensors

    1 publications · 13 citations

    1

    h-index

  3. IFAC-PapersOnLine

    1 publications · 26 citations

    1

    h-index

  4. Journal of Navigation

    1 publications · 39 citations

    1

    h-index

  5. 1

    h-index

1–5