Determination of the rate of penetration by robust machine learning algorithms based on drilling parameters

2023
journal article
article
4
10
dc.affiliationWydział Geografii i Geologii : Instytut Nauk Geologicznych
dc.contributor.authorAlavi Nezhad Khalil Abad, Seyed Vahid
dc.contributor.authorHazbeh, Omid
dc.contributor.authorRajabi, Meysam
dc.contributor.authorTabasi, Somayeh
dc.contributor.authorLajmorak, Sahar
dc.contributor.authorGhorbani, Hamzeh
dc.contributor.authorRadwan, Ahmed Eid Ahmed - 464004
dc.contributor.authorMudabbir, Mohammad
dc.date.accessioned2024-04-26T10:52:58Z
dc.date.available2024-04-26T10:52:58Z
dc.date.issued2023
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalAhmed Eid Ahmed Radwan podpisany jako Ahmed E. Radwan. Bibliogr. s. 46396-46398
dc.description.number49
dc.description.physical46390-46398
dc.description.versionostateczna wersja wydawcy
dc.description.volume8
dc.identifier.doi10.1021/acsomega.3c02364
dc.identifier.eissn2470-1343
dc.identifier.urihttps://ruj.uj.edu.pl/handle/item/331791
dc.languageeng
dc.language.containereng
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.typeinne
dc.subtypeArticle
dc.titleDetermination of the rate of penetration by robust machine learning algorithms based on drilling parameters
dc.title.journalACS Omega
dc.typeJournalArticle
dspace.entity.typePublicationen
dc.affiliation
Wydział Geografii i Geologii : Instytut Nauk Geologicznych
dc.contributor.author
Alavi Nezhad Khalil Abad, Seyed Vahid
dc.contributor.author
Hazbeh, Omid
dc.contributor.author
Rajabi, Meysam
dc.contributor.author
Tabasi, Somayeh
dc.contributor.author
Lajmorak, Sahar
dc.contributor.author
Ghorbani, Hamzeh
dc.contributor.author
Radwan, Ahmed Eid Ahmed - 464004
dc.contributor.author
Mudabbir, Mohammad
dc.date.accessioned
2024-04-26T10:52:58Z
dc.date.available
2024-04-26T10:52:58Z
dc.date.issued
2023
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additional
Ahmed Eid Ahmed Radwan podpisany jako Ahmed E. Radwan. Bibliogr. s. 46396-46398
dc.description.number
49
dc.description.physical
46390-46398
dc.description.version
ostateczna wersja wydawcy
dc.description.volume
8
dc.identifier.doi
10.1021/acsomega.3c02364
dc.identifier.eissn
2470-1343
dc.identifier.uri
https://ruj.uj.edu.pl/handle/item/331791
dc.language
eng
dc.language.container
eng
dc.rights
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
inne
dc.subtype
Article
dc.title
Determination of the rate of penetration by robust machine learning algorithms based on drilling parameters
dc.title.journal
ACS Omega
dc.type
JournalArticle
dspace.entity.typeen
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
10
Views per month
Downloads
radwan_et-al_determination_of_the_rate_of_penetration_2023.pdf
2