Machine learning in the oil and gas industry : including geosciences, reservoir engineering, and production engineering with Python /

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of som...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Pandey, Yogendra Narayan (Author), Rastogi, Ayush (Author), Kainkaryam, Sribharath (Author), Bhattacharya, Srimoyee (Author), Saputelli, Luigi (Author)
Format: Electronic eBook
Language:Inglés
Published: [Berkeley, CA] : Apress, [2020]
Subjects:
Petroleum engineering > Data processing.
Petroleum industry and trade > Data processing.
Artificial intelligence > Engineering applications.
Artificial intelligence > Geophysical applications.
Machine learning.
Python (Computer program language)
Technique du pétrole > Informatique.
Pétrole > Industrie et commerce > Informatique.
Intelligence artificielle > Applications en ingénierie.
Intelligence artificielle > Applications géophysiques.
Apprentissage automatique.
Python (Langage de programmation)
Artificial intelligence > Engineering applications
Petroleum industry and trade > Data processing
Petroleum engineering > Data processing
Artificial intelligence > Geophysical applications
Computer programming
Machine learning
Open source software
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