Concepedia

Pattern Recognition For Flow Diagnostics

Pattern Recognition for Flow Diagnostics is a computational methodology within flow assurance diagnostics that identifies and classifies characteristic operational or flow regime signatures from multiphase flow data through statistical, machine learning, or signal processing techniques to enable early detection of flow anomalies, thus distinguishing itself by its focus on extracting diagnostic patterns from complex flow behavior in oil and gas systems.

64

Publications

2.5K

Citations

235

Authors

112

Institutions

Publications per year

2017–2026

35

Parents

Publications

64

Vertical two-phase flow identification using advanced instrumentation and neural networks

Y. Mi, Mamoru Ishii, Lefteri H. Tsoukalas · Nuclear Engineering and Design · 1998 · 163 citations · Full text

, , +13

Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows

Eugênio Spanó Rosa, Ricardo Menezes Salgado, Takaaki Ohishi et al. · International Journal of Multiphase Flow · 2010 · 153 citations

, , +14

Artificial neural network application for multiphase flow patterns detection: A new approach

Mustafa Al-Naser, Moustafa Elshafei, Abdelsalam Al‐Sarkhi · Journal of Petroleum Science and Engineering · 2016 · 113 citations

, , +16

Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning

Mohamed Layouni, Mohamed Salah Hamdi, Sofiène Tahar · Applied Soft Computing · 2016 · 111 citations

, , +16

Bubble patterns recognition using neural networks: Application to the analysis of a two-phase bubbly jet

Igor Poletaev, M. P. Tokarev, Konstantin S. Pervunin · International Journal of Multiphase Flow · 2019 · 105 citations · Full text

, , +16

1–5 of 64

Authors

235

  1. QX
    Qiang Xu

    Xi'an Jiaotong University, China

    4 publications · 118 citations

    4

    h-index

  2. LG
    Liejin Guo

    Xi'an Jiaotong University, China

    3 publications · 87 citations

    3

    h-index

  3. WL
    Wensheng Li

    Hunan University, China

    2 publications · 47 citations

    2

    h-index

  4. ZY
    Z. Yazeedi

    Clinical Insights, United States

    2 publications · 40 citations

    2

    h-index

  5. MP
    M. P. Tokarev

    Institute of Thermophysics, Russia

    2 publications · 139 citations

    2

    h-index

1–5 of 235

Institutions

112

  1. Xi'an Jiaotong University

    Xi'an, China

    4 h-index

    21 publications

    612 citations

  2. China National Petroleum Corporation (China)

    Beijing, China

    3 h-index

    3 publications

    78 citations

  3. China University of Petroleum, Beijing

    Beijing, China

    3 h-index

    5 publications

    196 citations

  4. Sapienza University of Rome

    Rome, Italy

    2 h-index

    2 publications

    42 citations

  5. Novosibirsk State University

    Novosibirsk, Russia

    2 h-index

    4 publications

    278 citations

  6. University of North Dakota

    Grand Forks, United States

    2 h-index

    2 publications

    76 citations

  7. Institute of Thermophysics

    Novosibirsk, Russia

    2 h-index

    5 publications

    312 citations

  8. Concordia University

    Montreal, Canada

    2 h-index

    4 publications

    320 citations

1–8 of 112

Venues

  1. Flow Measurement and Instrumentation

    5 publications · 175 citations

    5

    h-index

  2. International Journal of Multiphase Flow

    4 publications · 376 citations

    4

    h-index

  3. Experimental Thermal and Fluid Science

    ETFS · 3 publications · 124 citations

    3

    h-index

  4. International Petroleum Technology Conference

    Conference · 3 publications · 50 citations

    3

    h-index

  5. Journal of Petroleum Science and Engineering

    3 publications · 222 citations

    3

    h-index

1–5