Introducing a new method for predicting PVT properties of Iranian crude oils by applying artificial neural networks

J. Naseryan Moghadam, K. Salahshoor, R. Kharrat

Research output: Contribution to journalArticleResearchpeer-review

31 Citations (Scopus)
Original languageEnglish
Pages (from-to)1066-1079
Number of pages14
JournalPetroleum science and technology
Issue number10
Publication statusPublished - Jan 2011


  • artificial neural network
  • bubble point pressure
  • cross validation data set
  • oil formation volume factor
  • PVT correlations
  • PVT properties
  • training data set

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