Applications of Artificial Intelligence Techniques in the Petroleum Industry

Released on by Abdolhossein Hemmati-Sarapardeh
preview-18

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

  • Author : Abdolhossein Hemmati-Sarapardeh
  • Release Date : 2020-08-26
  • Publisher : Gulf Professional Publishing
  • Genre : Science
  • Pages : 324
  • ISBN 13 : 0128223855
  • File Size : 76,76 MB
DOWNLOAD BOOK

Applications of Artificial Intelligence Techniques in the Petroleum Industry by Abdolhossein Hemmati-Sarapardeh PDF Summary

Book Description: 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

Disclaimer: www.yourbookbest.com does not own Applications of Artificial Intelligence Techniques in the Petroleum Industry books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.