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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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 24, 2026 |
| ISBN13 | 9781041020073 |
| Publishers | Taylor & Francis Ltd |
| Pages | 712 |
| Dimensions | 150 × 220 × 20 mm · 1.51 kg |
| Language | English |
| 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 |
