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
  • 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-s2.0-85073678242&doi=10.2118%2f191595-18rptc-ms&partnerID=40&md5=46b704152077bb1b78d973be8eb77d6b
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=242728&p_lang=2

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