小客车
发表于 2025-3-21 19:00:43
书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0473734<br><br> <br><br>书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0473734<br><br> <br><br>
强制性
发表于 2025-3-21 22:27:57
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后退
发表于 2025-3-22 02:14:33
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使人入神
发表于 2025-3-22 06:36:10
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偏见
发表于 2025-3-22 09:24:14
Reducing the Geological Uncertainty by History Matching,ave better and more reliable estimations of the true model. This chapter provides the details of history matching, different data types and their scale that are used in history matching, use of seismic, static, and production data in history matching, challenges encountered during history matching,
In-Situ
发表于 2025-3-22 13:39:10
Dimensionality Reduction Methods Used in History Matching,dual deformation, principal component analysis, and higher-order singular value decomposition, and deep learning methods, including the autoencoders, variational autoencoders, and convolutional variational autoencoders. Also, a brief introduction to machine learning and deep learning is provided.
Gourmet
发表于 2025-3-22 20:49:56
Field Development Optimization Under Geological Uncertainty,presentative geological realizations to be used in robust optimization, decreasing the computational cost of the optimization under geological uncertainty by constrained optimization, and challenges related to these activities are described in this chapter.
得罪
发表于 2025-3-23 00:12:46
History Matching and Robust Optimization Using Proxies,history matching and robust field development optimization. Different kinds of proxy models; such as physics-based, non-physics-based, and hybrid proxies; pros and cons of using proxy models; and some example applications of proxy models are introduced.
灾祸
发表于 2025-3-23 05:04:37
. Result shows the optimal setting of machining variables in laser microgrooving of K-60 alumina ceramic at pulse frequency of 4.4 kHz, diode current of 17 amp, scan speed of 35 mm/s, number of passes as 12, with estimated groove upper width deviation of 0.02669 µm. The methodology described here is
树木中
发表于 2025-3-23 08:56:20
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