Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field.
- Published in:
- International Journal of Energy Research, 2024, v. 2024, p. 1, doi. 10.1155/2024/5576859
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- Publication type:
- Article
Works by Hosseini-Nasab, Seyed Mojtaba
Results: 3
1
2
Investigating the synergistic effect of Hybrid- NanoFluids (HNFs) dispersed in smart water, modified with green surfactant on solution stability, viscosity and interfacial tension in contact with crude oil of a southwestern field of Iran.
- Published in:
- Journal of Petroleum Research / Pizhūhish-i Naft, 2025, v. 34, n. 139, p. 17, doi. 10.22078/pr.2024.5376.3393
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- Publication type:
- Article
3
A novel approach to classify lithology of reservoir formations using GrowNet and Deep‐Insight with physic‐based feature augmentation.
- Published in:
- Energy Science & Engineering, 2024, v. 12, n. 10, p. 4453, doi. 10.1002/ese3.1895
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- Publication type:
- Article