Download or read book AI and GenAI for Petroleum Industry written by Rakesh Kumar and published by Independently Published. This book was released on 2024-07-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Applications of Artificial Intelligence AI and Machine Learning ML in the Petroleum Industry written by Manan Shah and published by CRC Press. This book was released on 2022-09-02 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Power of Artificial Intelligence for the Next Generation Oil and Gas Industry written by Pethuru Raj Chelliah and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in the Petroleum Industry written by Bertrand Braunschweig and published by Editions TECHNIP. This book was released on 1995 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in the Petroleum Industry written by Bertrand Braunschweig and published by Editions TECHNIP. This book was released on 1996 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition written by Mohammadali Ahmadi and published by Elsevier. This book was released on 2024-08-01 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Download or read book Applications of Artificial Intelligence Techniques in the Petroleum Industry written by Abdolhossein Hemmati-Sarapardeh and published by Gulf Professional Publishing. This book was released on 2020-08-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Artificial Intelligence in the Oil Industry written by B. Braunschweig and published by . This book was released on 1992 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI and Digital Technology for Oil and Gas Fields written by Niladri Kumar Mitra and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--
Download or read book Artificial Intelligence and Data Analytics for Energy Exploration and Production written by Fred Aminzadeh and published by John Wiley & Sons. This book was released on 2022-09-21 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.
Download or read book Artificial Intelligent Approaches in Petroleum Geosciences written by Constantin Cranganu and published by Springer Nature. This book was released on with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Energies written by James Brandy and published by Independently Published. This book was released on 2024-01-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shaping the Future of Intelligent Energy: Navigating the AI Revolution in Oil and Gas" Embark on a transformative journey through the cutting-edge landscape of the oil and gas industry with our insightful book. "Shaping the Future of Intelligent Energy" delves into the pivotal intersection of artificial intelligence (AI) and sustainability, showcasing how innovation is redefining the very fabric of energy exploration, production, and management. Explore real-world case studies that unveil the tangible impact of AI applications, from predictive analytics optimizing production to automation revolutionizing drilling operations. Witness the industry's commitment to environmental stewardship as it integrates renewable energy sources and pioneers carbon capture and storage initiatives, showcasing a paradigm shift towards greener practices. Confront the challenges head-on, from technological hurdles to workforce transitions, and discover how the industry's resilience and adaptability are steering it towards a more sustainable and intelligent future. Uncover emerging trends like digital twins, blockchain, and quantum computing, which promise to reshape industry norms and redefine the boundaries of efficiency and collaboration. In this illuminating narrative, "Shaping the Future of Intelligent Energy" provides a comprehensive understanding of the industry's evolution. From a backdrop of traditional practices to the forefront of intelligent energy solutions, this book is a compass for industry leaders, policymakers, and innovators navigating the complexities of a dynamic and sustainable future. Join us on this journey as we unravel the narratives of success, confront challenges, and envision the possibilities that lie ahead in the era of intelligent energy. The future is being shaped, and this book is your guide to understanding how the oil and gas industry is at the forefront of this transformative revolution.
Download or read book Artificial Intelligence in the Oil Industry written by B. Braunschweig and published by . This book was released on 1992 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI for Petrol Gas Station written by Rakesh Kumar and published by Independently Published. This book was released on 2024-04-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of technological advancement, artificial intelligence (AI) stands as a beacon of innovation, offering transformative solutions across various industries. One such domain poised for significant disruption is the management and operations of petrol and gas stations. As we navigate the transition towards a more sustainable and efficient future, the integration of AI technologies holds immense promise in revolutionizing how we perceive, interact with, and manage these vital fueling hubs. The book "AI for Petrol & Gas Station" serves as a comprehensive guide, delving into the myriad ways in which AI is reshaping the petrol and gas station landscape. From streamlining operational processes and enhancing customer experiences to optimizing inventory management and ensuring regulatory compliance, the potential applications of AI in this domain are vast and far-reaching. This book is tailored for a diverse audience, catering to petrol and gas station owners, operators, technology enthusiasts, policymakers, and consumers alike. Whether you're seeking to leverage AI to drive operational efficiency, improve sustainability practices, or simply gain a deeper understanding of the technological forces shaping the fuel industry, this book offers invaluable insights and practical strategies to navigate the AI-driven future of petrol and gas stations. Through real-world case studies, expert insights, and actionable guidance, "AI for Petrol & Gas Station" equips readers with the knowledge and tools necessary to harness the transformative power of AI and propel the fuel industry into a new era of innovation and sustainability. Join us on this enlightening journey as we explore the intersection of AI and petrol and gas station management, charting a course towards a smarter, more efficient, and environmentally conscious future.
Download or read book Application of Big Data in Petroleum Streams written by Jay Gohil and published by CRC Press. This book was released on 2022-05-09 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as exploration, production, refining and finance). The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum-associated operation in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry. The book resonates with readers who wish to understand the intricate details of working with big data (along with data science, machine learning and artificial intelligence) in general and how it affects and impacts an entire industry. As the book builds various concepts of big data from scratch to industry level, readers who wish to gain big data-associated knowledge of industry level in simple language from the very fundamentals would find this a wonderful read.
Download or read book Artificial Intelligent Approaches in Petroleum Geosciences written by Constantin Cranganu and published by Springer. This book was released on 2015-04-20 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, there is a need to establish a new approach aimed at proper integration of disciplines (such as petroleum engineering, geology, geophysics and geochemistry), data fusion, risk reduction and uncertainty management. These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. This book is intended for petroleum scientists, data miners, data scientists and professionals and post-graduate students involved in petroleum industry.
Download or read book AI Petro 95 written by International Conference on Artificial Intelligence in the Petroleum Industry and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
