02611nam 2200493 450 991048425870332120210311102045.03-030-67474-610.1007/978-3-030-67474-8(CKB)4100000011743117(DE-He213)978-3-030-67474-8(MiAaPQ)EBC6467018(PPN)253254892(EXLCZ)99410000001174311720210311d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdaptive approach to petroleum reservoir simulation /Stanislav Ursegov, Armen Zakharian1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (IX, 86 p. 47 illus., 44 illus. in color.) Advances in Oil and Gas Exploration and Production,2509-37383-030-67473-8 Introduction -- Value of information for reservoir simulation -- Contrasts between adaptive and deterministic models -- Alternatives for mathematical apparatus of adaptive simulation - neural networks and fuzzy logic -- Adaptive geological modeling -- Adaptive hydrodynamic modeling -- Adaptive forecasting -- Adaptive software system Cervart -- Conclusion.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.Advances in Oil and Gas Exploration & Production,2509-372XGeotechnical engineeringEngineering geologyGeotechnical engineering.Engineering geology.624.151Ursegov Stanislav1081687Zakharian ArmenMiAaPQMiAaPQMiAaPQBOOK9910484258703321Adaptive approach to petroleum reservoir simulation2850162UNINA