Erratum to: Equivalent alkane carbon number of crude oils: A predictive model based on machine learning

Benoit Creton; Isabelle Lévêque; Fanny Oukhemanou

doi:10.2516/ogst/2019053

Journal Articles Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles Year : 2019

Erratum to: Equivalent alkane carbon number of crude oils: A predictive model based on machine learning

(1) , (1) ,

Benoit Creton

Function : Correspondent author
PersonId : 940486

Connectez-vous pour contacter l'auteur

IFP Energies nouvelles

Isabelle Lévêque

Function : Author

IFP Energies nouvelles

Fanny Oukhemanou

Function : Author

Abstract

No abstract available

Domains

Physics [physics]

Fichier principal

ogst190053s.pdf (39.51 Ko)

Origin : Publication funded by an institution

EDP Sciences : Connect in order to contact the contributor

https://hal-ifp.archives-ouvertes.fr/hal-02334282

Submitted on : Friday, October 25, 2019-9:40:59 PM

Last modification on : Monday, March 28, 2022-11:26:04 AM

Dates and versions

hal-02334282 , version 1 (25-10-2019)

Identifiers

HAL Id : hal-02334282 , version 1
DOI : 10.2516/ogst/2019053

Cite

Benoit Creton, Isabelle Lévêque, Fanny Oukhemanou. Erratum to: Equivalent alkane carbon number of crude oils: A predictive model based on machine learning. Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles, 2019, 74, pp.75. ⟨10.2516/ogst/2019053⟩. ⟨hal-02334282⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

IFP OGST

67 View

43 Download

Erratum to: Equivalent alkane carbon number of crude oils: A predictive model based on machine learning

Abstract

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Altmetric

Share