Translated title of the contributionNeural network-based approach to resistivity logs express simulation in realistic models of complex terrigenous sediments
Original languageRussian
Article number6
Pages (from-to)70-78
Number of pages9
JournalGeology and Mineral Resources of Siberia
Issue number4 (48)
DOIs
Publication statusPublished - 2021

    OECD FOS+WOS

  • 1.05.KY GEOLOGY
  • 1.05 EARTH AND RELATED ENVIRONMENTAL SCIENCES

    State classification of scientific and technological information

  • 38 GEOLOGY

    Research areas

  • Convolutional neural networks, Detailed geoelectric models, Express-modeling, Focused lateral logging, Low-frequency induction logging, Terrigenous oil reservoirs, Unfocused lateral logging sounding

ID: 35322890