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Sensitivity analysis of factors controlling the cement hot spot temperature and the corresponding well depth using a combined CFD simulation and machine learning approach
Journal of Petroleum Science and Engineering
◽
10.1016/j.petrol.2021.109617
◽
2021
◽
pp. 109617
Author(s):
Rui Wang
◽
Ergun Kuru
◽
Yifei Yan
◽
Xinxiang Yang
◽
Xiangzhen Yan
Keyword(s):
Machine Learning
◽
Sensitivity Analysis
◽
Cfd Simulation
◽
Hot Spot
◽
Learning Approach
◽
Machine Learning Approach
◽
Well Depth
◽
Spot Temperature
Download Full-text
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A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis
Applied Energy
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◽
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Author(s):
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Global Sensitivity Analysis
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Water Mass and Biogeochemical Variability in the Kerguelen Sector of the Southern Ocean: A Machine Learning Approach for a Mixing Hot Spot
Journal of Geophysical Research Oceans
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Global sensitivity analysis for a real-time electricity market forecast by a machine learning approach: A case study of Mexico
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Sensitivity Analysis
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Global Sensitivity Analysis
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Spoton: A Machine-Learning Approach for Hot-Spot Determination
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◽
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◽
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◽
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◽
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Education System
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