ISBN: 9781032245881 - applications of artificial intelligence (ai) and machine learning (ml) in the petroleum industry (6 risultati)

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032245883 / 9781032245881

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 78,41

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032245883 / 9781032245881

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032245883 / 9781032245881

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    EUR 76,24

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

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    Condizione: 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1032245883 / 9781032245881

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    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Paperback. Condizione: new. Paperback. 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 todays 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. The book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems, serving as a useful guide for professionals working in the petroleum industry, industrial engineers, artificial intelligence and machine learning experts and researchers, as well as students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1032245883 / 9781032245881

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 92,56

    EUR 44,34 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. 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 todays 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. The book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems, serving as a useful guide for professionals working in the petroleum industry, industrial engineers, artificial intelligence and machine learning experts and researchers, as well as students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…