Applications of Artificial Intelligence Techniques in the Petroleum Industry is popular PDF and ePub book, written by Abdolhossein Hemmati-Sarapardeh in 2020-08-26, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Applications of Artificial Intelligence Techniques in the Petroleum Industry can be Read Online from any device for your convenience.

Applications of Artificial Intelligence Techniques in the Petroleum Industry Book PDF Summary

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

Detail Book of Applications of Artificial Intelligence Techniques in the Petroleum Industry PDF

Applications of Artificial Intelligence Techniques in the Petroleum Industry
  • Author : Abdolhossein Hemmati-Sarapardeh
  • Release : 26 August 2020
  • Publisher : Gulf Professional Publishing
  • ISBN : 9780128223857
  • Genre : Science
  • Total Page : 324 pages
  • Language : English
  • PDF File Size : 9,6 Mb

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