轻而薄 发表于 2025-3-23 11:49:55

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领带 发表于 2025-3-23 15:21:35

https://doi.org/10.1007/978-3-030-67474-8Oil and Gas Fields; Geological and Reservoir Modeling; Artificial Intelligence; Machine Learning; Comput

curriculum 发表于 2025-3-23 19:05:33

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Evocative 发表于 2025-3-23 23:31:08

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祖传 发表于 2025-3-24 05:43:05

Introduction to Neutrino Physics,t calculations, now this is not necessary. Any formula is just a sequence of actions with variables. A similar sequence of actions can be set in a computer using a set of subroutines, and most importantly, one can find a solution that differs from the usual analytical expressions, but gives approximately the same result.

maverick 发表于 2025-3-24 09:40:01

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水獭 发表于 2025-3-24 14:29:26

Book 2021and 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 popular

DEFER 发表于 2025-3-24 16:42:32

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GRAIN 发表于 2025-3-24 21:51:52

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自然环境 发表于 2025-3-24 23:27:38

https://doi.org/10.1007/978-1-4613-9427-3his statement in relation to this book is that even if everyone around us will say that the deterministic geological and hydrodynamic modeling of petroleum reservoirs is the only correct approach—this cannot be the proof of this statement’s truth.
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查看完整版本: Titlebook: Adaptive Approach to Petroleum Reservoir Simulation; Stanislav Ursegov,Armen Zakharian Book 2021 The Editor(s) (if applicable) and The Aut