Applications of Artificial Intelligence Techniques in the Petroleum Industry
Autor: | Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Nait Amar Menad, Sassan Hajirezaie |
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EAN: | 9780128223857 |
eBook Format: | ePUB/PDF |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 26.08.2020 |
Kategorie: | |
Schlagworte: | Data integration ant colony optimization data analytics decision tree drilling engineering enhanc exploration genetic algorithm genetic programming machine learning multiphase flow oil and gas production engineering reservoir engineering |
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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
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, several conference proceedings, and earned one patent in 2016.
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, several conference proceedings, and earned one patent in 2016.