• DocumentCode
    3169358
  • Title

    An approach to issue of diagnosing marginal oil wells

  • Author

    Guliyev, R.A.

  • Author_Institution
    Azerbaijan State Econ. Univ., Baku, Azerbaijan
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    1499
  • Lastpage
    1501
  • Abstract
    Adaptive system of diagnosing a stratum condition on a three-layer neural network basis is offered for duly revealing possible complications in operational oil wells. Structured time series identified as binary matrixes were chosen in the input as forms of representing information on possible conditions of “bottomhole zone - oil well” system.
  • Keywords
    hydrocarbon reservoirs; neural nets; time series; binary matrix; bottomhole zone-oil well system; marginal oil well diagnosis; operational oil wells; stratum condition; structured time series; three-Iayer neural network basis; Geology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608624
  • Filename
    6608624
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3169358