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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