Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
MACHINE LEARNING APPROACH TO OPEN HOLE INTERPRETATION AND STATIC MODELLING APPLIED TO A GIANT FIELD
Form of presentationArticles in international journals and collections
Year of publication2018
Языканглийский
  • Nurgaliev Danis Karlovich, author
  • Sudakov Vladislav Anatolevich, author
  • Usmanov Sergey Anatolevich, author
  • Bibliographic description in the original language Ismagilov A, Sudakov V, Nurgaliev D, Machine learning approach to open hole interpretation and static modelling applied to a giant field//Society of Petroleum Engineers - SPE Russian Petroleum Technology Conference 2018, RPTC 2018. - 2018. - Vol., Is.. - .
    Keywords Machine learning approach to open hole interpretation and static modelling applied to a giant field
    The name of the journal Society of Petroleum Engineers - SPE Russian Petroleum Technology Conference 2018, RPTC 2018
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059985780&partnerID=40&md5=f8c174113d3187d1b4af81d042e6cf0f
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=213568&p_lang=2

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