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00000cam c22002058c 4500
000001158812
20230322165722
ta
230320s2023 us b 001c0 eng
▼a 2022008786
▼a 9781032245652
▼q (hbk)
▼a 9781032245881
▼q (pbk)
▼a (KERIS)REF000019947066
▼a DLC
▼b eng
▼c DLC
▼d 211070
▼a TN871
▼a TN871
▼b S525
▼a Applications of artificial intelligence (AI) and machine learning (ML) in the petroleum industry /
▼d Manan Shah,
▼e Ameya Kshirsagar,
▼e Jainam Panchal
▼a 1st ed.
▼a Boca Raton :
▼b CRC Press,
▼c 2023
▼a 134 p. ;
▼c 24 cm
▼a Includes bibliographical references and index
▼a "Today, raw data on any industry is widely available. With the help of artificial intelligence and machine learning, this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, artificial intelligence and machine learning 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 and Machine Learning in the Petroleum Industry analyzes the use of artificial intelligence and machine learning 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 artificial intelligence and machine learning, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, 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. The 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, artificial intelligence and machine learning experts and researchers, as well as students"--
▼c Provided by publisher
▼a Petroleum engineering
▼x Data processing
▼a Petroleum industry and trade
▼x Data processing
▼a Gas industry
▼x Data processing
▼a Artificial intelligence
▼x Industrial applications
▼a Machine learning
▼x Industrial applications
▼a Shah, Manan
▼q (Manan Rajiv),
▼e author
▼a Kshirsagar, Ameya,
▼e author
▼a Panchal, Jainam,
▼e author
▼b $99.95
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781032245652 |
| ISBN : | 9781032245881 |
| 분류기호 : | TN871 |
| 서명/저자사항 : | Applications of artificial intelligence (AI) and machine learning (ML) in the petroleum industry / Manan Shah, Ameya Kshirsagar, Jainam Panchal |
| 판사항 : | 1st ed. |
| 발행사항 : | Boca Raton : CRC Press, 2023 |
| 형태사항 : | 134 p. ; 24 cm |
| 서지주기 : | Includes bibliographical references and index |
| 요약 : | "Today, raw data on any industry is widely available. With the help of artificial intelligence and machine learning, this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, artificial intelligence and machine learning 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 and Machine Learning in the Petroleum Industry analyzes the use of artificial intelligence and machine learning 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 artificial intelligence and machine learning, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, 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. The 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, artificial intelligence and machine learning experts and researchers, as well as students"-- Provided by publisher |
| 일반주제명 : | Petroleum engineering -- Data processing -- |
| 일반주제명 : | Petroleum industry and trade -- Data processing -- |
| 일반주제명 : | Gas industry -- Data processing -- |
| 일반주제명 : | Artificial intelligence -- Industrial applications -- |
| 일반주제명 : | Machine learning -- Industrial applications -- |
| 개인저자 : | Shah, Manan (Manan Rajiv), author |
| 개인저자 : | Kshirsagar, Ameya, author |
| 개인저자 : | Panchal, Jainam, author |
| 언어 | 영어 |
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