Physics-based Forecasting Models

Physics-Based Forecasting Models is a forecasting methodology that belongs to the class of predictive models and is distinguished by its reliance on fundamental physical laws and governing equations of the system to simulate and predict production behavior.

88

Publications

5K

Citations

523

Authors

212

Institutions

Publications per year

2017–2026

71

Variants

Physics-based Forecasting Model

Authors

523

  1. YC
    Yuan Cheng

    Zhejiang University, China

    3 publications · 312 citations

    3

    h-index

  2. XZ
    Xiaohui Zhong

    Fudan University, China

    3 publications · 312 citations

    3

    h-index

  3. KM
    Kieran M. R. Hunt

    University of Reading, United Kingdom

    3 publications · 240 citations

    3

    h-index

  4. YX
    Yinghui Xu

    Fudan University, China

    3 publications · 312 citations

    3

    h-index

  5. RD
    Rod Downie

    British Antarctic Survey, United Kingdom

    2 publications · 301 citations

    2

    h-index

1–5 of 523

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 146 citations

    5

    h-index

  2. Ocean Engineering

    3 publications · 128 citations

    3

    h-index

  3. Reliability Engineering & System Safety

    3 publications · 113 citations

    3

    h-index

  4. Solar Energy

    3 publications · 119 citations

    3

    h-index

  5. SPE Journal

    3 publications · 54 citations

    3

    h-index

1–5