Stanislav Ursegov,Armen Zakharian
Adaptive Approach to Petroleum Reservoir Simulation
Adaptive Approach to Petroleum Reservoir Simulation
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The book discusses the use of new machine learning algorithms for petroleum exploration, development, and production, presenting a novel adaptive modeling approach that offers an alternative to traditional techniques. It highlights the benefits of machine-learning algorithms in providing consistency, predictiveness, and convenience in simulation and forecasting reservoir processes.
Format: Paperback / softback
Length: 86 pages
Publication date: 02 February 2022
Publisher: Springer Nature Switzerland AG
This book delves into the realm of adaptive modeling, a cutting-edge approach rooted in novel machine learning algorithms, to revolutionize petroleum exploration, development, and production. By employing this adaptable approach, simulation engineers and geoscientists can craft comprehensive geological and hydrodynamic models that accurately represent complex geological structures and fluid dynamics. What sets this approach apart is its proven ability to offer a genuine alternative to traditional deterministic modeling techniques. The growing popularity of machine-learning algorithms stems from their remarkable attributes of consistency, predictiveness, and convenience.
The central objective of this book is to present a comprehensive overview of the adaptive modeling approach, highlighting its theoretical foundations and showcasing practical applications in simulation and forecasting various reservoir processes. Through detailed explanations and illustrative examples, readers will gain a deep understanding of the techniques and strategies employed in adaptive modeling, enabling them to apply these methodologies to their own research and projects in the petroleum industry.
In conclusion, this book serves as a valuable resource for professionals seeking to advance their knowledge and expertise in petroleum exploration, development, and production. By leveraging the power of adaptive modeling and machine learning algorithms, readers can unlock new insights, optimize decision-making processes, and drive innovation in the field. The future of petroleum exploration is undoubtedly shaped by this transformative approach, and this book plays a pivotal role in shaping that future.
Weight: 201g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030674762
Edition number: 1st ed. 2021
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