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Volume 19
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Correction to Energies 2023, 16(18), 6727.
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Correction

Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727

by
Anna Samnioti
1 and
Vassilis Gaganis
1,2,*
1
School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece
2
Institute of Geoenergy, Foundation for Research and Technology-Hellas, 73100 Chania, Greece
*
Author to whom correspondence should be addressed.
Energies 2026, 19(2), 532; https://doi.org/10.3390/en19020532
Submission received: 17 December 2025 / Accepted: 23 December 2025 / Published: 21 January 2026
Browse Figure
Versions Notes
In the original publication [1], Figure 1 has been replaced with a new one due to a copyright issue and the withdrawal of reference [116] in the original publication. The updated Figure 1 is as below and the corresponding citation has been added.
With the new citation below, the references have been reordered.
7.
Fan, Z.; Tian, M.; Li, M.; Mi, Y.; Jiang, Y.; Song, T.; Cao, J.; Liu, Z. Assessment of CO2 Sequestration Capacity in a Low-Permeability Oil Reservoir Using Machine Learning Methods. Energies 2024, 17, 3979.
The authors state that the scientific conclusions are unaffected. This correction has been approved by the Academic Editor.

Reference

  1. Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727. [Google Scholar] [CrossRef]
Energies 19 00532 g001
Figure 1. Reservoir model with millions of grid blocks [7].
Figure 1. Reservoir model with millions of grid blocks [7].
Energies 19 00532 g001
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MDPI and ACS Style

Samnioti, A.; Gaganis, V. Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727. Energies 2026, 19, 532. https://doi.org/10.3390/en19020532

AMA Style

Samnioti A, Gaganis V. Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727. Energies. 2026; 19(2):532. https://doi.org/10.3390/en19020532

Chicago/Turabian Style

Samnioti, Anna, and Vassilis Gaganis. 2026. "Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727" Energies 19, no. 2: 532. https://doi.org/10.3390/en19020532

APA Style

Samnioti, A., & Gaganis, V. (2026). Correction: Samnioti, A.; Gaganis, V. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II. Energies 2023, 16, 6727. Energies, 19(2), 532. https://doi.org/10.3390/en19020532

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