Bøger af Shahab D. Mohaghegh

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. This book focuses on smart proxy modeling and teaches readers to develop smart proxy models using artificial intelligence and machine learning.

This book addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI.

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 LearningDetails application in reservoir simulation and modeling and computational fluid dynamicsIncludes real case studies based on commercially available simulatorsSmart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics.

This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment.