Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry

The oil and gas industry is one of the largest industries in terms of economy and energy. AI and ML are being used to automate processes, improve efficiency, and reduce costs. This book explores the applications of AI and ML in the petroleum industry across all three sectors, including exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis. It will serve as a useful guide for professionals, industrial engineers, AI and ML experts, and researchers, as well as students.

Format: Hardback
Length: 134 pages
Publication date: 02 September 2022
Publisher: Taylor & Francis Ltd

The availability of raw data on various industries has grown significantly in recent years, thanks to advancements in artificial intelligence (AI) and machine learning (ML). These technologies enable us to extract meaningful insights from this data, transforming it into a valuable resource for businesses and organizations. As data continues to play a pivotal role in the modern world, it is expected to be applied across all industrial sectors, including the oil and gas industry.

Industry 4.0, a concept that emphasizes the automation of processes and technologies, has gained significant attention in recent years. The oil and gas industry, being one of the largest contributors to the global economy and energy, is a prime candidate for the implementation of Industry 4.0 technologies.

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry is a comprehensive book that explores the use of AI and ML in the oil and gas industry across all three sectors: upstream, midstream, and downstream. It provides a detailed analysis of the various applications of these technologies, ranging from exploration and data management to extraction, processing, real-time data analysis, monitoring, cloud-based connectivity systems, and conditions analysis. The book also takes into account the incorporation of safety measures and the efficient and effective execution of operations to ensure a better operation.

One of the key areas of focus in the book is the exploration of the variety of applications that can be integrated to support the existing petroleum and adjacent sectors in solving industry problems. It discusses the use of AI and ML in areas such as predictive maintenance, real-time monitoring of equipment, and optimization of drilling and production processes. The book also explores the potential of these technologies in improving safety, reducing costs, and increasing efficiency in the oil and gas industry.

The book is written in a clear and concise manner, making it accessible to professionals working in the petroleum industry, industrial engineers, AI and ML experts, researchers, and students. It includes case studies and examples to illustrate the practical applications of AI and ML in the oil and gas industry, providing readers with a hands-on understanding of how these technologies can be implemented in their organizations.

In conclusion, Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry is a valuable resource for professionals, researchers, and students interested in exploring the potential of AI and ML in the oil and gas industry. The book provides a comprehensive analysis of the various applications of these technologies, covering exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity systems, and conditions analysis. It also discusses the potential of these technologies in improving safety, reducing costs, and increasing efficiency in the oil and gas industry. With its clear and concise writing style, the book is an essential guide for anyone looking to leverage the power of AI and ML in their work.

Weight: 430g
Dimension: 246 x 174 (mm)
ISBN-13: 9781032245652