9781041020073 - Artificial Intelligence in the Energy Industry: Theory, Case Studies, and Applications (18 resultados)

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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Hardcover. Condición: Brand New. 744 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condición: new. Hardcover. This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques. Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges. Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective. Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques. Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges. Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective. Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cenk Temizel is an energy professional with 20 years of international experience in the oil and gas industry. He was a research assistant at Stanford University before joining the industry and is the recipient of the SPE Regional Reservoir Descrip.

Buch. Condición: Neu. Artificial Intelligence in the Energy Industry | Theory, Case Studies, and Applications | Cenk Temizel (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041020073 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condición: new. Hardcover. This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques. Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges. Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective. Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.