Details for: Prasad R. Practical Introduction to AI and GenAI in Petroleum Engineering...2025

Prasad R. Practical Introduction to AI and GenAI in Petroleum Engineering...2025

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Textbook in PDF format The integration of Artificial Intelligence (AI) and Generative AI (GenAI) into the petroleum industry marks a transformative shift in how professionals approach exploration, production, and operational optimization. The challenges of managing vast, complex datasets, improving efficiencies, and enhancing decision-making are at the core of the modern energy landscape, and AI technologies offer unprecedented opportunities to address these challenges. Practical Introduction to AI and GenAI in Petroleum Engineering: A No-Code AI Practical Handbook for Petroleum Professionals is designed to serve as a comprehensive, hands-on guide for those seeking to leverage AI and GenAI in petroleum engineering. In this book, we explore the practical applications of AI technologies in key areas such as reservoir management, predictive maintenance, drilling optimization, and more. It is our aim to provide professionals with the necessary tools, techniques, and knowledge to seamlessly incorporate AI into their daily work, driving efficiency, cost reduction, and innovation. A unique aspect of this book is the dedicated chapters on no-coding practical exposures for AI techniques such as classification, regression, and clustering, where we provide readers with practical exercises using real-world petroleum datasets. This chapter is designed not only to introduce fundamental AI concepts but also to offer practical experience, enabling petroleum professionals to apply AI tools directly to data and challenges they encounter in their work. Whether you're developing predictive models, enhancing reservoir simulations, or creating intelligent systems for field optimization, the hands-on exercises will empower you to use AI and GenAI to solve real-world problems. This book is tailored to both engineers and data scientists—those already in the petroleum industry and those looking to transition from other fields. With a strong focus on practical application, the content will guide readers through the foundational principles of AI, then provide the practical techniques necessary to implement these concepts in the context of petroleum engineering. As AI continues to evolve, we believe that the future of petroleum engineering lies in embracing these technologies to innovate and improve processes. By equipping yourself with the knowledge and practical experience offered in this book, you will be well-positioned to harness the power of AI and GenAI to meet the challenges of an ever-changing energy sector. We invite you to explore this exciting frontier and begin your journey towards mastering AI in petroleum engineering. Introduction to AI and Generative AI in Petroleum Engineering Fundamentals of AI and Machine Learning Data Acquisition and Processing for AI in Petroleum Engineering AI for Exploration and Reservoir Characterization Generative AI in Reservoir Simulation AI for Drilling Optimization AI in Production and Well Management Generative AI in Design and Engineering of Oil & Gas Systems AI for Reservoir Management and Enhanced Oil Recovery (EOR) AI in Environmental Monitoring and Safety Integrating AI and Blockchain for Petroleum Supply Chains The Future of AI and Generative AI in Petroleum Engineering Beginning Your First Practical AI hands-on for Petroleum Engineering Real-world case study examples

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1. Prasad R. Practical Introduction to AI and GenAI in Petroleum Engineering...2025.pdf10.72 MiB