An Approach to Issue of Diagnosing Marginal Oil Wells

Guliyev R. A.

Joint World Congress of the International-Fuzzy-Systems-Association (IFSA) / Annual Meeting of the North-American-Fuzzy-Information-Processing-Society (NAFIPS), Edmonton, Canada, 24 - 28 June 2013, pp.1499-1501 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ifsa-nafips.2013.6608624
  • City: Edmonton
  • Country: Canada
  • Page Numbers: pp.1499-1501
  • Azerbaijan State University of Economics (UNEC) Affiliated: No

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.