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Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
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Data-Driven Analytics for the Geological Storage of CO2 (Paperback)
Loot Price: R2,054
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Data-Driven Analytics for the Geological Storage of CO2 (Paperback)
Expected to ship within 12 - 17 working days
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Data-driven analytics is enjoying unprecedented popularity among
oil and gas professionals. Many reservoir engineering problems
associated with geological storage of CO2 require the development
of numerical reservoir simulation models. This book is the first to
examine the contribution of artificial intelligence and machine
learning in data-driven analytics of fluid flow in porous
environments, including saline aquifers and depleted gas and oil
reservoirs. Drawing from actual case studies, this book
demonstrates how smart proxy models can be developed for complex
numerical reservoir simulation models. Smart proxy incorporates
pattern recognition capabilities of artificial intelligence and
machine learning to build smart models that learn the intricacies
of physical, mechanical and chemical interactions using precise
numerical simulations. This ground breaking technology makes it
possible and practical to use high fidelity, complex numerical
reservoir simulation models in the design, analysis and
optimization of carbon storage in geological formations projects.
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