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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications - Softcover

 
9780128219294: Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications
  • PublisherGulf Professional Publishing
  • Publication date2021
  • ISBN 10 0128219297
  • ISBN 13 9780128219294
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages476

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Belyadi, Hoss; Haghighat, Alireza
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ISBN 10: 0128219297 ISBN 13: 9780128219294
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paperback. Condition: Very Good. Excellent condition copy, minimal wear, pages are clean and unmarked. Some mild wear along bottom of covers and exterior spine. Paperback. LW. Seller Inventory # D23011

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ISBN 10: 0128219297 ISBN 13: 9780128219294
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Haghighat Alireza Belyadi Hoss
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. 476 pp. Englisch. Seller Inventory # 9780128219294

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