Crc Press Applications Of Artificial Intelligence (Ai) And Machine Learning (Ml) In The Petroleum Industry Large 09781032245652
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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Details:Crc Press Applications Of Artificial Intelligence (Ai) And Machine Learning (Ml) In The Petroleum Industry Large 09781032245652
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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Product Description
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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Brand | Taylor & Francis Ltd |
Size | Large |
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