Description

Book Synopsis

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 pro

Table of Contents

1. A Comprehensive Review of Machine Application in the Oil and Gas Industry 2. AI and ML Application in the Upstream Sector of the Oil and Gas Industry 3. One Step Further in Upstream Sector 4. Midstream Sector with ML Models and Techniques 5. Downstream Sector with Machine Learning 6. Safety and Maintenance with AI and ML 7. Finance with ML and AI 8. Market and Trading in Oil and Gas (Petroleum) Industry 9. Future of Oil and Gas (Petroleum) Industry with AI

Applications of Artificial Intelligence AI and

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A Hardback by Ameya Kshirsagar, Ameya Kshirsagar, Jainam Panchal

1 in stock


    View other formats and editions of Applications of Artificial Intelligence AI and by Ameya Kshirsagar

    Publisher: Taylor & Francis Ltd
    Publication Date: 9/2/2022 12:00:00 AM
    ISBN13: 9781032245652, 978-1032245652
    ISBN10: 1032245654

    Description

    Book Synopsis

    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 pro

    Table of Contents

    1. A Comprehensive Review of Machine Application in the Oil and Gas Industry 2. AI and ML Application in the Upstream Sector of the Oil and Gas Industry 3. One Step Further in Upstream Sector 4. Midstream Sector with ML Models and Techniques 5. Downstream Sector with Machine Learning 6. Safety and Maintenance with AI and ML 7. Finance with ML and AI 8. Market and Trading in Oil and Gas (Petroleum) Industry 9. Future of Oil and Gas (Petroleum) Industry with AI

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