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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements

Evgenii Kanin Alsu Garipova Sergei Boronin Vladimir Vanovskiy Albert Vainshtein Andrey Afanasyev Andrei Osiptsov Evgeny Burnaev

石油研究（英文）2025，Vol.10Issue(2)：247-265,19.

石油研究（英文）2025，Vol.10Issue(2)：247-265,19.DOI:10.1016/j.ptlrs.2024.09.001

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements

Evgenii Kanin ¹Alsu Garipova ¹Sergei Boronin ¹Vladimir Vanovskiy ¹Albert Vainshtein ¹Andrey Afanasyev ²Andrei Osiptsov ¹Evgeny Burnaev³

作者信息

1. Skolkovo Institute of Science and Technology(Skoltech),Bolshoy Boulevard 30,bld.1,Moscow,121205,Russia
2. Institute of Mechanics,Moscow State University,Michurinsky Pr.,1,Moscow,119192,Russia
3. Skolkovo Institute of Science and Technology(Skoltech),Bolshoy Boulevard 30,bld.1,Moscow,121205,Russia||Autonomous Non-Profit Organization Artificial Intelligence Research Institute(AIRI),Moscow,105064,Russia
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摘要

关键词

Permeability estimation/Well test analysis/Reservoir modeling/Optimization methods/Neural networks/Hydrodynamic similarity

Key words

Permeability estimation/Well test analysis/Reservoir modeling/Optimization methods/Neural networks/Hydrodynamic similarity

引用本文复制引用

Evgenii Kanin,Alsu Garipova,Sergei Boronin,Vladimir Vanovskiy,Albert Vainshtein,Andrey Afanasyev,Andrei Osiptsov,Evgeny Burnaev..Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements[J].石油研究（英文）,2025,10(2):247-265,19.

基金项目

The work was supported by the Analytical center under the RF Government(subsidy agreement 000000D730321P5Q0002,Grant No.70-2021-00145 02.11.2021). （subsidy agreement 000000D730321P5Q0002,Grant No.70-2021-00145 02.11.2021）

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