Applications of artificial intelligence techniques in the petroleum industry
Hemmati-Sarapardeh, Abdolhossein Larestani, Aydin Amar, Menad Nait Hajirezaie, Sassan
Applications of artificial intelligence techniques in the petroleum industry - UK: Gulf Professional Publishing, 2021. - x, 312p.; 23cms.
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.
Key Features
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
9780128186800
Petroleum industry and trade--Data processing
Artificial intelligence--Industrial applications
Drilling, reservoir and production
338.2728028563 H46
Applications of artificial intelligence techniques in the petroleum industry - UK: Gulf Professional Publishing, 2021. - x, 312p.; 23cms.
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.
Key Features
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
9780128186800
Petroleum industry and trade--Data processing
Artificial intelligence--Industrial applications
Drilling, reservoir and production
338.2728028563 H46