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Artificial Intelligence in the Energy Industry: Theory, Case Studies, and Applications
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Artificial Intelligence in the Energy Industry: Theory, Case Studies, and Applications
This comprehensive resource bridges the knowledge gap in applying modern AI and ML methods to the petroleum sector. It explores how AI, ML, and data analytics enhance efficiency, safety, and productivity in operations across the oil and gas value chain, like exploration, drilling, production, reservoir management, and renewables integration.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 24 de marzo de 2026 |
| ISBN13 | 9781041020073 |
| Editores | Taylor & Francis Ltd |
| Páginas | 712 |
| Dimensiones | 150 × 220 × 20 mm · 1,51 kg |
| Lengua | Inglés |
| Editor | Alagoz, Ekrem |
| Editor | Canbaz, Celal Hakan |
| Editor | Dundar, Emre Can |
| Editor | Oskay, Mehmet Melih |
| Editor | Saputelli, Luigi |
| Editor | Sari, Mufrettin Murat |
| Editor | Temizel, Cenk |
| Editor | Tutun, Salih |
