
==== Front
ACS Omega
ACS Omega
ao
acsodf
ACS Omega
2470-1343
American Chemical Society

10.1021/acsomega.4c06783
Addition/Correction
Correction to “Fracture Conductivity Prediction Based on Machine Learning”
Wang Xiaopeng †‡
Zhang Binqi †‡
Du Jianbo †‡
Liu Dongdong †‡
Zhang Qilong †‡
https://orcid.org/0000-0001-5694-5976
Liu Xiaoqiang *§∥
† State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
‡ Tianjin Branch of CNOOC Ltd, Tianjin 300450, China
§ School of Energy Resources, China University of Geosciences Beijing, Beijing 100083, China
∥ School of Earth and Spacing Sciences, Peking University, Beijing 100871, China
27 08 2024
10 09 2024
9 36 3831438314
08 08 2024
© 2024 The Authors. Published by American Chemical Society
2024
The Authors
https://creativecommons.org/licenses/by-nc-nd/4.0/ Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
ACS Omega2024, 9 (11), 13469−13480. DOI: 10.1021/acsomega.4c00448National Natural Science Foundation of China 10.13039/501100001809 52204024 Fund of State and Key Laboratory of Offshore Oil Exploitation NA NA CNPC Innovation Found NA 2021DQ02-1006 document-id-old-9ao4c06783
document-id-new-14ao4c06783
ccc-price
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pmcWe are issuing a correction to change the affiliation in the original paper.

The affiliation in the original paper “State Key Laboratory of Offshore Oil Exploitation” has been changed in the corrected affiliations above to “State Key Laboratory of Offshore Oil and Gas Exploitation”

Acknowledgments

This study was sponsored by National Natural Science Foundation of China (Grand No. 52204024), CNPC Innovation Found (Grant No. 2021DQ02-1006), and State Key Laboratory of Offshore Oil and Gas Exploitation.
