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.
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.
Abdolhossein Hemmati-Sarapardeh is currently an assistant professor at Shahid Bahonar University of Kerman. He is also an adjunct professor at Jilin University and Northeast Petroleum University in China. He was previously a visiting scholar at the University of Calgary. He earned a PhD in petroleum engineering from Amirkabir University of Technology, an MSc in hydrocarbon reservoir engineering from the Sharif University of Technology, and a BSc in petroleum engineering from the Amirkabir University of Technology. His research interests include enhanced oil recovery processes, heavy oil systems, nanotechnology, and applications of intelligent models in the petroleum industry. Abdolhossein has been awarded as a distinguished graduate MSc student, was an honor PhD student, and a recipient of the National Elites Foundation Scholarship. He works as an associate professor in the Journal of Petroleum Science and Engineering. He has published over 150 journal articles, three books, sever
al conference proceedings, and earned one patent in 2016.
Aydin Larestani is currently an MSc student at the University of Kerman and a member of the Iranian Oil Industry Youth Committee in the World Petroleum Council. He is the 1st ranked student in MSc in hydrocarbon reservoir engineering at the Shahid Bahonar University of Kerman and 1st ranked graduate in Bachelor of Science in drilling engineering. He was the secretary of petroleum engineering scientific association from 2015 to 2018. His research interests include applications of intelligent models in the petroleum industry, chemical enhanced oil recovery, thermal EOR, interfacial tension, and heavy oil.
Inhaltsangabe
1. Introduction 2. Intelligent Models 3. Training and Optimization Algorithms 4. Application of Intelligent Models in Reservoir and Production Engineering 5. Application of Intelligent Models in Drilling Engineering 6. Application of Intelligent Models in Exploration Engineering 7. Weakness and Strength of Intelligent Models in Petroleum Industry
1. Introduction 2. Intelligent Models 3. Training and Optimization Algorithms 4. Application of Intelligent Models in Reservoir and Production Engineering 5. Application of Intelligent Models in Drilling Engineering 6. Application of Intelligent Models in Exploration Engineering 7. Weakness and Strength of Intelligent Models in Petroleum Industry
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