Applications of Artificial Intelligence Techniques in the Petroleum Industry

Helps readers gain a better understanding of current and upcoming data analytic techniques and artificial intelligence for the oil and gas industry upstream sector

Abdolhossein Hemmati-Sarapardeh (Author), Aydin Larestani (Author), Nait Amar Menad (Author), Sassan Hajirezaie (Author)

9780128186800, Elsevier Science

Paperback, published 26 August 2020

322 pages
22.9 x 15.1 x 2.1 cm, 0.57 kg

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.

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

Subject Areas: Environmental science, engineering & technology [TQ], Petroleum technology [THFP], Gas technology [THFG], Fossil fuel technologies [THF]