Avoid common mistakes on your manuscript.
Correction to: Natural Resources Research https://doi.org/10.1007/s11053-024-10389-3
The original version of this article unfortunately contains error in Acknowledgement section. This section is incomplete as part of the information is missing in the article.
The complete section is given here:
Acknowledgments
This research was supported by the following grants: 1) Ministry of Education and Science of the Republic of Kazakhstan grants No. AP13068648. 2) Nazarbayev University CRP grant No. 11022021CRP1506. The APC was paid by Nazarbayev University CRP grant No. 11022021CRP1506.
The original article has been corrected.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Shabdirova, A., Kozhagulova, A., Samenov, Y. et al. Correction: Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan. Nat Resour Res (2024). https://doi.org/10.1007/s11053-024-10399-1
Published:
DOI: https://doi.org/10.1007/s11053-024-10399-1