Adaptive Approach to Petroleum Reservoir Simulation
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Beschreibung
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
Supports reservoir engineers to create adequate geological and hydrodynamic models Presents some novel mechanisms of artificial intelligence applied to petroleum exploration, development and production Describes simulation and forecasting petroleum reservoir processes
Autor*in
Stanislav Ursegov
Themen in »Adaptive Approach to Petroleum Reservoir Simulation«
Oil and Gas Fields Geological and Reservoir Modeling Artificial Intelligence Machine Learning Computer Forecasting