| 期刊全稱 | Adaptive Approach to Petroleum Reservoir Simulation | | 影響因子2023 | Stanislav Ursegov,Armen Zakharian | | 視頻video | http://file.papertrans.cn/145/144594/144594.mp4 | | 發(fā)行地址 | Supports reservoir engineers to create adequate geological and hydrodynamic models.Presents some novel mechanisms of artificial intelligence applied to petroleum exploration, development and productio | | 學(xué)科分類 | Advances in Oil and Gas Exploration & Production | | 圖書封面 |  | | 影響因子 | 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.. | | Pindex | Book 2021 |
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