Artificial intelligence and data analytics for exploration and production

This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications...

Full description

Saved in:
Bibliographic Details
Main Authors Aminzadeh, Fred (Author), Temizel, Cenk (Author), Hajizadeh, Yasin (Author)
Format Electronic eBook
LanguageEnglish
Published Hoboken, NJ : Beverly, MA : John Wiley & Sons ; Scrivener Publishing LLC, 2022.
Subjects
Online AccessFull text
ISBN9781119879886
1119879884
9781119879893
1119879892
1119879698
9781119879695
Physical Description1 online resource

Cover

More Information
Summary:This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in "smart oil fields". This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints.
Bibliography:Includes bibliographical references and index.
ISBN:9781119879886
1119879884
9781119879893
1119879892
1119879698
9781119879695
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Physical Description:1 online resource