Abdolhossein Hemmati Sarapardeh,
Abdolhossein Hemmati-Sarapardeh,
Abdolhossein (Assistant Professor, Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Iran) Hemmati-Sarapardeh,
Aydin Larestani,
Aydin (Research Assistant, Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Iran) Larestani,
Nait Amar Menad,
Nait Amar (Assistant Professor, Faculty of Hydrocarbons and Chemistry, University M’hamed Bougara of Boumerdes, Algeria) Menad,
Sassan Hajirezaie,
Sassan (PhD Candidate, Princeton University) Hajirezaie
e.a.
Elsevier Science
e druk, 2020
9780128186800
Applications of Artificial Intelligence Techniques in the Petroleum Industry
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2020
ISBN13: 9780128186800
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Introduction<br>2. Intelligent Models<br>3. Training and Optimization Algorithms<br>4. Application of Intelligent Models in Reservoir and Production Engineering<br>5. Application of Intelligent Models in Drilling Engineering<br>6. Application of Intelligent Models in Exploration Engineering<br>7. Weakness and Strength of Intelligent Models in Petroleum Industry</p>