Artificial Intelligence and Data Analytics for Energy Exploration and Production by Fred Aminzadeh

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About the Book

Artificial Intelligence and Data Analytics for Energy Exploration and Production is a groundbreaking technical reference written by some of the foremost authorities on the application of data science and artificial intelligence in the energy industry. Published by Wiley, the book covers the most comprehensive and up-to-date processes, concepts, and practical applications in the field, offering an in-depth treatment of the foundations of Artificial Intelligence (AI), Machine Learning, and Data Analytics (DA), alongside their real-world applications in oil and gas reservoir exploration, development, and production.

The book covers the fundamental technical details behind many of the tools used in modern "smart oil fields," including pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, machine learning, human-computer interfaces, natural language processing, data analytics, and next-generation visualization techniques. From there, it moves into detailed applications spanning the full spectrum of practical energy industry challenges, from exploration and drilling to field development, production optimization, artificial lift, and secondary recovery. Throughout, the authors demonstrate how intelligent data analysis methods can effectively address complex oil and gas problems that require combining both machine and human intelligence, including working with imprecise, linguistic data and expert-derived rules. Designed to help accelerate the ongoing energy transformation, the book supports readers in achieving faster, more cost-effective exploration and production outcomes across subsurface characterization, carbon sequestration, and reservoir monitoring.

Why Choose This Book?

• Written by leading industry authorities: Authored by recognized experts with decades of combined experience in AI, energy, and reservoir engineering.
• Comprehensive AI and DA foundations: Covers core concepts including neural networks, fuzzy logic, expert systems, and natural language processing.
• Real-world energy industry applications: Connects AI theory directly to practical use cases across exploration, drilling, and production.
• Covers the full E&P lifecycle: Addresses reservoir characterization, production forecasting, optimization, and enhanced oil recovery.
• Published by Wiley: A respected academic and technical publisher known for rigorous, high-quality engineering references.

About the Authors

Fred Aminzadeh is a recognized expert in artificial intelligence and energy, having served as a professor at both the University of Houston and the University of Southern California. His career includes work at dGB, Unocal (now part of Chevron), and Bell Laboratories, spanning fossil energy, geothermal energy, and carbon sequestration. He served as president of the Society of Exploration Geophysicists, has authored more than 15 books, and holds several patents. He currently serves as president of FACT, an energy services company, and is a member of the technical advisory board of DOE/NETL's SMART initiative. Cenk Temizel is a Senior Reservoir Engineer with Saudi Aramco, bringing over 15 years of experience in reservoir simulation, data analytics, smart fields, and enhanced oil recovery from his work with Aera Energy, Schlumberger, and Halliburton across the Middle East, the U.S., and the U.K. Yasin Hajizadeh rounds out the author team with additional expertise in the application of data science to energy systems.

Who Should Read This Book

• Petroleum and reservoir engineers working in exploration and production
• Data scientists and AI/machine learning professionals entering the energy sector
• Graduate students and researchers in petroleum engineering and energy systems
• Energy industry professionals working with smart oilfield technologies
• Academics and professionals interested in AI applications across the E&P lifecycle

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Order now and gain expert insight into how AI and data analytics are transforming energy exploration and production.