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Smart Proxy Modeling

Bag om Smart Proxy Modeling

Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases. Covers replication of highly accurate numerical simulations using Artificial Intelligence and Machine Learning Details application in reservoir simulation and modeling and computational fluid dynamics Includes real case studies based on commercially available simulators Smart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics.

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  • Sprog:
  • Ukendt
  • ISBN:
  • 9781032151144
  • Indbinding:
  • Hardback
  • Sideantal:
  • 190
  • Udgivet:
  • 27. oktober 2022
  • Størrelse:
  • 165x19x240 mm.
  • Vægt:
  • 426 g.
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 16. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Smart Proxy Modeling

Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases.
Covers replication of highly accurate numerical simulations using Artificial Intelligence and Machine Learning
Details application in reservoir simulation and modeling and computational fluid dynamics
Includes real case studies based on commercially available simulators
Smart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics.

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