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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.
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.
In this WIPO Patent Landscape Report on Generative AI, discover the latest patent trends for GenAI with a comprehensive and up-to-date understanding of the GenAI patent landscape, alongside insights into its future applications and potential impact. The report explores patents relating to the different modes, models and industrial application areas of GenAI.
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.
Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. - Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering - Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms - Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input
"The book essentially covers the growing role of AI in oil and gas industry, including digital technology in exploration phase to customer sales service along with a cloud-based digital storage of reservoir simulation data for modeling. It initiates with the description of AI system and its role towards oil and gas business including agent base system, impact of industrial IoT on business models, ethics of robotics in AI implementation. It discusses reliability of operation leading to reduction of operating costs by localizing control functions, remote monitoring, and supervision. Features: Exclusive title on the application of AI and Digital Technology in the Oil and Gas industry. Explains Cloud Data Management in reservoir simulation. Discussed intelligent oil and gas-well completion in detail. Covers marketing aspect of oil and gas business during exploration phase. Reviews development of digital system for business purpose. This book aims at professionals in petroleum and chemical engineering, technology and engineering management"--
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry's pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. - Reviews the use and applications of AI in energy transition of the oil and gas sectors - Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts - Showcases the successful implementation of AI in the industry (including geothermal energy)
Expert review of how the antiquated United States healthcare system is transforming The Coming Healthcare Revolution: The 10 Forces that Will Cure America's Health Crisis identifies and describes five top-down macro forces and five bottom-up market forces that have sufficient strength to transform the U.S. healthcare industry from the outside-in. The powerful macro forces are demographic determinants, funding fatigue, chronic pandemics, technological imperatives, and pro-consumer/market reforms. The equally powerful market forces are whole health, care redesign, care migration, aggregators' advantage, and empowered caregivers. Written by David Johnson and Paul Kusserow, professional healthcare advisors operating at the intersection of healthcare economics, policy, strategy, and capital formation, this book provides expert insight on how the U.S. healthcare system is becoming cheaper, better, more balanced between prevention and treatment, easier to access, and more empowering for both frontline caregivers and consumers. In this book, readers will learn about: Factors leading to rising healthcare costs, including an aging population, perverse economic incentives, armies of middlemen, and expensive breakthrough therapies U.S. healthcare in comparison to other high-income countries—twice as expensive per-capita, and inferior in terms of health status metrics Similarities between the U.S. automobile industry crisis in the 1980s and today's adapt-or-die situation for healthcare providers and suppliers How the healthcare industry is reorganizing to decentralize delivery of whole-person health in ways that will improve health outcomes and overall societal health The Coming Healthcare Revolution is a must-read for professionals and organizations seeking to understand and react to the paradigm-shifting forces revolutionizing the healthcare ecosystem.