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

Open Access

Erratum

This article is an erratum for:
[https://doi.org/10.2516/ogst/2019002]

Issue		Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles Volume 74, 2019


Article Number		75
Number of page(s)		1
DOI		https://doi.org/10.2516/ogst/2019053
Published online		25 October 2019

Oil & Gas Science and Technology - Rev. IFP Energies nouvelles 74, 75 (2019)

Erratum

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

Benoit Creton¹^,3^*, Isabelle Lévêque¹^,3 and Fanny Oukhemanou²^,3

¹ IFP Energies nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France
² Solvay-Laboratory of the Future, 178 avenue du Dr. Schweitzer, 33600 Pessac, France
³ The EOR Alliance , www.eor-alliance.com

^* Corresponding author: benoit.creton@ifpen.fr

Accepted: 1 October 2019

This article has no abstract.

Erratum for: Oil & Gas Science and Technology - Rev. IFP Energies nouvelles 74, 30 (2019)

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

First page of the article