Applications of Artificial Intelligence Techniques in the Petroleum Industry

Download or Read online Applications of Artificial Intelligence Techniques in the Petroleum Industry full in PDF, ePub and kindle. This book written by Abdolhossein Hemmati Sarapardeh and published by Gulf Professional Publishing which was released on 26 August 2020 with total pages 322. We cannot guarantee that Applications of Artificial Intelligence Techniques in the Petroleum Industry book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Applications of Artificial Intelligence Techniques in the Petroleum Industry
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Publisher : Gulf Professional Publishing
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ISBN : 9780128223857
Pages : 322 pages
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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

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

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Machine Learning and Data Science in the Oil and Gas Industry

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