• DocumentCode
    589368
  • Title

    The Study of Production Decline Curve Based on Particle Swarm Optimization

  • Author

    Qunhui Zhang ; Jiawei Tang

  • Author_Institution
    Comput. Sci., Xi´an Univ. of Sci. & Technol., Xi´an, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    Decline curve is widely used in long term oil production forecast and recoverable reserves calculation. Oil field production decline analysis research is an important parts of oil field dynamic analysis. This paper analyzed and solved the production decline model, based on the high efficiency and high-speed of particle swarm algorithm, and combining the actual production of oil field, taking practical production time correction, computer automatic regression, and other means to making the calculation process more convenient, calculation results more realistic. Contrast experiment shows that the algorithm in this paper have high precision, small error, reliable result, can effectively applied to the production prediction in declining stage.
  • Keywords
    forecasting theory; oil technology; particle swarm optimisation; petroleum industry; production management; regression analysis; computer automatic regression; oil field dynamic analysis; oil field production decline analysis research; oil production forecast calculation; oil recoverable reserves calculation; particle swarm optimization; production decline curve; production time correction; Algorithm design and analysis; Computers; Equations; Mathematical model; Particle swarm optimization; Prediction algorithms; Production; Decline curves; Dynamic analysis; Particle swarm algorithm; Production forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.26
  • Filename
    6406877