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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Applications of Artificial Intelligence Ai and Machine Learning Ml in the Petroleum Industry
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Language: English
Published by CRC Press 2022-08-15, 2022
ISBN 10: 1032245654 ISBN 13: 9781032245652
Hardcover. Condition: New.
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Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 101.23
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Transforming Agricultural Technology by Artificial Intelligence and Robotics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Applications of Artificial Intelligence Ai and Machine Learning Ml in the Petroleum Industry
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 100.25
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Transforming Agricultural Technology by Artificial Intelligence and Robotics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032245654 ISBN 13: 9781032245652
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy.Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations.This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.
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Transforming Agricultural Technology by Artificial Intelligence and Robotics
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 113.29
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Add to basketCondition: New. In.
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Condition: New. Dr. Manan Shah is B.E in Chemical Engineering from LD College of Engineering and M. Tech. in Petroleum Engineering from School of Petroleum Technology, PDPU. He has completed his Ph. D. in the area of exploration and exploitation of Geot.
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Hardcover. Condition: Brand New. 176 pages. 9.69x6.88x0.38 inches. In Stock.
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Hardcover. Condition: Brand New. 224 pages. 9.19x6.13x0.63 inches. In Stock.
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Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032245654 ISBN 13: 9781032245652
Hardback. Condition: New. Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy.Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations.This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.
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Hardcover. Condition: Brand New. 176 pages. 9.69x6.88x0.38 inches. In Stock. This item is printed on demand.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Manan Shah is a BE in Chemical Engineering from the LD College of Engineering, Gujarat Technological University, and M. Tech. in Petroleum Engineering from the School of Petroleum Technology, PDPU, Gandhinagar, Gujarat. He has completed .
