Prediction of penetration rate in drilling operations: a comparative study of three neural network forecast methods

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2190-0566
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Prediction of penetration rate in drilling operations: a comparative study of three neural network forecast methods ; volume:11 ; number:2 ; day:8 ; month:1 ; year:2021 ; pages:805-818 ; date:2.2021
Journal of petroleum exploration and production technology ; 11, Heft 2 (8.1.2021), 805-818, 2.2021

Creator
Brenjkar, Ehsan
Biniaz Delijani, Ebrahim
Karroubi, Kasra
Contributor
SpringerLink (Online service)

DOI
10.1007/s13202-020-01066-1
URN
urn:nbn:de:101:1-2021040620001076914927
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:56 AM CEST

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Associated

  • Brenjkar, Ehsan
  • Biniaz Delijani, Ebrahim
  • Karroubi, Kasra
  • SpringerLink (Online service)

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