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AI and GenAI for Petroleum Industry

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Book Details
Language
English
Publishers
Independently published (13 July 2024)
Weight
0.5 KG
Publication Date
13/07/2024
Pages
378 pages
ISBN-13
9798333022011
Dimensions
15.24 x 2.18 x 22.86 cm
SKU
9798333022011
Author Name
Rakesh Kumar (Author)
With a distinguished career spanning over 22+ years, Rakesh Kumar is an accomplished senior leader renowned for leading global projects across diverse sectors. Their expertise encompasses banking, aerospace, rail, and automotive industries, demonstrating a proven track record in steering multi-million dollar projects from conception to successful completion. Certified as a Project Management Professional (PMP) and Scrum Fundamentals, Rakesh excels in project management processes, including initiation, planning, execution, control, and closure.Armed with a Master's in Engineering from Motilal Nehru National Institute of Technology (MNNIT) and a Bachelor's in Engineering from the National Institute of Technology, Tiruchirappalli, Rakesh has consistently delivered exceptional results. As a leader, they drive teams of 100+ members, fostering operational excellence aligned with business and technology strategies. Based on interaction and lack of depth of understanding of topic during critical project requiements now Rakesh aims to contribute to developing lots of practice materials on the latest technology.Read more about this authorRead less about this author
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In the dynamic landscape of the petroleum industry, the integration of Artificial Intelligence (AI) and Generative AI (GenAI) stands poised to revolutionize operations, redefine efficiency benchmarks, and propel innovation to unprecedented heights. As traditional methodologies meet the complexities of modern exploration, extraction, and refining processes, AI emerges not merely as a tool but as a transformative force driving sustainable growth and operational excellence.

This book delves into the intricate synergy between AI technologies and the petroleum sector, offering a comprehensive exploration of how machine learning, deep learning, natural language processing, computer vision, and generative modeling are reshaping every facet of industry operations. From upstream exploration and reservoir management to downstream refining processes and environmental stewardship, each chapter explores practical applications, case studies, and cutting-edge research that illuminate the path toward optimized resource utilization, enhanced safety standards, and environmental sustainability.

Throughout these pages, readers will uncover the foundational principles of AI as applied to the petroleum industry, gaining insights into how predictive analytics improve decision-making, how autonomous systems streamline operations, and how generative models simulate scenarios to predict outcomes with unprecedented accuracy. Beyond operational efficiencies, the ethical implications, regulatory considerations, and future trajectories of AI adoption in the petroleum industry are meticulously examined, ensuring a balanced perspective on the transformative potential and the responsibilities inherent in AI-driven advancements.

This book serves as a guiding compass for industry professionals, researchers, and enthusiasts alike, navigating the intricate intersections of technology and tradition to foster a new era of innovation and resilience in the petroleum industry. As we embark on this journey into the future of energy, AI and GenAI emerge not merely as tools of progress but as catalysts for sustainable development and global impact.

Join us as we unravel the possibilities, challenges, and profound implications of AI and GenAI for the petroleum industry—a journey where innovation meets tradition, and where data-driven insights unlock the next frontier of energy exploration and production. .

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