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Parameters Estimation in petroleum wells using artificial intelligence

  • Universidad de los Andes Mérida
  • Polytechnic University of Catalonia

Research output: Chapter in Book/Conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure).

Original languageEnglish
Title of host publicationProceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
Pages173-178
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
Event13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference - Rodos, Greece
Duration: 22 Jul 200924 Jul 2009

Publication series

NameProceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference

Conference

Conference13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
Country/TerritoryGreece
CityRodos
Period22/07/0924/07/09

Keywords

  • Artificial gas lift wells
  • Neo-fuzzy models
  • Oil system production
  • Parameters estimation

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