Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
THE USE OF NEURAL NETWORK TECHNOLOGIES IN PREDICTION THE RESERVOIR PROPERTIES OF UNCONSOLIDATED RESERVOIR ROCKS OF SHALLOW BITUMEN DEPOSITS
Form of presentationArticles in international journals and collections
Year of publication2021
Языкандийский
  • Validov Marat Fanisovich, author
  • Galimova Albina Rafaelevna, author
  • Golod Kseniya Andreevna, author
  • Murtazin Timur Aleksandrovich, author
  • Nurgaliev Danis Karlovich, author
  • Sudakov Vladislav Anatolevich, author
  • Shamsiev Ruslan Ramilevich, author
  • Bibliographic description in the original language Validov M.F., Nurgaliev D.K., Sudakov V.A., Murtazin T.A., Golod K.A., Galimova A.R., Shamsiev R.R., Lutfullin A.A., Amerhanov M.I. ,Aslyamov N.A. The use of neural network technologies in prediction the reservoir properties of unconsolidated reservoir rocks of shallow bitumen deposits. Society of Petroleum Engineers - SPE Annual Caspian Technical Conference 2021, CTC 2021
    Annotation 2021 SPE Annual Caspian Technical Conference
    Keywords Neural Network, the reservoir properties
    The name of the journal 2021 SPE Annual Caspian Technical Conference
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=261457&p_lang=2
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    SPE_207004_MS.pdf 1,68 pdf show / download

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