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Artificial Intelligence in the Energy Industry : Theory, Case Studies, and Applications

By: (Edited by) Celal Hakan Canbaz , (Edited by) Cenk Temizel , (Edited by) Ekrem Alagoz , (Edited by) Emre Can Dundar , (Edited by) Luigi Saputelli , (Edited by) Mehmet Melih Oskay , (Edited by) Mufrettin Murat Sari , (Edited by) Salih Tutun

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Ksh 28,800.00

Format: Hardback or Cased Book

ISBN-10: 1041020074

ISBN-13: 9781041020073

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 25th, 2025

Print length: 744 Pages

Weight: 453 grams

Product Classification: Mining industry
Energy
Alternative & renewable energy sources & technology
Automatic control engineering
Civil engineering, surveying & building

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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.

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