Correction to: Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan (Natural Resources Research, (2024), 33, 6, (2789-2805), 10.1007/s11053-024-10389-3)

Ainash Shabdirova, Ashirgul Kozhagulova, Yernazar Samenov, Nguyen Minh, Yong Zhao

Research output: Contribution to journalComment/debatepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)2807
Number of pages1
JournalNatural Resources Research
Volume33
Issue number6
DOIs
Publication statusPublished - Dec 2024

ASJC Scopus subject areas

  • General Environmental Science

Fingerprint

Dive into the research topics of 'Correction to: Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan (Natural Resources Research, (2024), 33, 6, (2789-2805), 10.1007/s11053-024-10389-3)'. Together they form a unique fingerprint.

Cite this