Applications of Artificial Intelligence Techniques in the Petroleum Industry

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 engineeringHelps 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 algorithmsProvides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input

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